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Roger M. Cooke

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Rennert, Kevin & Prest, Brian C. & Pizer, William & Newell, Richard G. & Anthoff, David & Kingdon, Cora & Rennels, Lisa & Cooke, Roger & Raftery, Adrian E. & Ševčíková, Hana & Errickson, Frank, 2021. "The Social Cost of Carbon: Advances in Long-Term Probabilistic Projections of Population, GDP, Emissions, and Discount Rates," RFF Working Paper Series 21-28, Resources for the Future.

    Cited by:

    1. Maryam Al-Jabir & Rima J. Isaifan, 2024. "Long-Term Projection of Transport-Related Social Cost of Greenhouse Gas Emissions in Qatar," Sustainability, MDPI, vol. 16(2), pages 1-16, January.
    2. Lampert, Adam, 2024. "Global non-sustainable harvest of renewable resources reduces their present price but increases their net present value," Resource and Energy Economics, Elsevier, vol. 76(C).
    3. Phillip K. Agbesi & Rico Ruffino & Marko Hakovirta, 2023. "The development of sustainable electric vehicle business ecosystems," SN Business & Economics, Springer, vol. 3(8), pages 1-59, August.

  2. Cooke, Roger M. & Golub, Alexander & Wielicki, Bruce A. & Mlynczak, Martin G. & Young, David F. & Baize, Rosemary R., 2016. "Real Option Value for New Measurements of Cloud Radiative Forcing," RFF Working Paper Series dp-16-19, Resources for the Future.

    Cited by:

    1. Roger M Cooke & Bruce Wielicki, 2018. "Probabilistic reasoning about measurements of equilibrium climate sensitivity: combining disparate lines of evidence," Climatic Change, Springer, vol. 151(3), pages 541-554, December.

  3. Colson, Abigail & Cooke, Roger & Lutter, Virginia, 2016. "Full title How Does Breastfeeding Affect IQ? Applying the Classical Model of Structured Expert Judgment," RFF Working Paper Series dp-16-28, Resources for the Future.

    Cited by:

    1. Roger M. Cooke & Harry Joe & Bo Chang, 2020. "Vine copula regression for observational studies," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 104(2), pages 141-167, June.

  4. Cooke, Roger M., 2014. "Deep and Shallow Uncertainty in Messaging Climate Change," RFF Working Paper Series dp-14-11, Resources for the Future.

    Cited by:

    1. Bruce Hewitson & Katinka Waagsaether & Jan Wohland & Kate Kloppers & Teizeen Kara, 2017. "Climate information websites: an evolving landscape," Wiley Interdisciplinary Reviews: Climate Change, John Wiley & Sons, vol. 8(5), September.
    2. Baker, Erin & Bosetti, Valentina & Salo, Ahti, 2020. "Robust portfolio decision analysis: An application to the energy research and development portfolio problem," European Journal of Operational Research, Elsevier, vol. 284(3), pages 1107-1120.

  5. Cooke, Roger M. & Ross, Heather L. & Stern, Adam, 2011. "Precursor Analysis for Offshore Oil and Gas Drilling: From Prescriptive to Risk-Informed Regulation," RFF Working Paper Series dp-10-61, Resources for the Future.

    Cited by:

    1. Alexandros-Andreas Kyrtsis, 2011. "Insurance of Techno-Organizational Ventures and Procedural Ethics: Lessons from the Deepwater Horizon Explosion," Journal of Business Ethics, Springer, vol. 103(1), pages 45-61, April.
    2. Christian C. Blanco & Felipe Caro & Charles J. Corbett, 2019. "Managing Safety‐Related Disruptions: Evidence from the U.S. Nuclear Power Industry," Risk Analysis, John Wiley & Sons, vol. 39(10), pages 2197-2213, October.

  6. Cooke, Roger M. & Nieboer, Daan, 2011. "Heavy-Tailed Distributions: Data, Diagnostics, and New Developments," RFF Working Paper Series dp-11-19, Resources for the Future.

    Cited by:

    1. Alexander Vinel & Pavlo A. Krokhmal, 2017. "Certainty equivalent measures of risk," Annals of Operations Research, Springer, vol. 249(1), pages 75-95, February.
    2. Bolandifar, Ehsan & DeHoratius, Nicole & Olsen, Tava, 2023. "Modeling abandonment behavior among patients," European Journal of Operational Research, Elsevier, vol. 306(1), pages 243-254.
    3. Marc N. Conte & David L. Kelly, 2016. "An Imperfect Storm: Fat-Tailed Hurricane Damages, Insurance and Climate Policy," Working Papers 2016-01, University of Miami, Department of Economics.
    4. Conte, Marc N. & Kelly, David L., 2018. "An imperfect storm: Fat-tailed tropical cyclone damages, insurance, and climate policy," Journal of Environmental Economics and Management, Elsevier, vol. 92(C), pages 677-706.

  7. Kousky, Carolyn & Kopp, Robert E. & Cooke, Roger, 2011. "Risk premia and the social cost of carbon: A review," Economics Discussion Papers 2011-19, Kiel Institute for the World Economy (IfW Kiel).

    Cited by:

    1. van den Bergh, J.C.J.M. & Botzen, W.J.W., 2015. "Monetary valuation of the social cost of CO2 emissions: A critical survey," Ecological Economics, Elsevier, vol. 114(C), pages 33-46.
    2. W. Botzen & Jeroen Bergh, 2014. "Specifications of Social Welfare in Economic Studies of Climate Policy: Overview of Criteria and Related Policy Insights," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 58(1), pages 1-33, May.
    3. Cooke, Roger M., 2011. "A shapley value approach to pricing climate risks," Economics Discussion Papers 2011-17, Kiel Institute for the World Economy (IfW Kiel).
    4. Liu, Liqun, 2012. "Inferring the rate of pure time preference under uncertainty," Ecological Economics, Elsevier, vol. 74(C), pages 27-33.
    5. Anil Markandya & Enrica Cian & Laurent Drouet & Josué M. Polanco-Martínez & Francesco Bosello, 2019. "Building Risk into the Mitigation/Adaptation Decisions simulated by Integrated Assessment Models," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 74(4), pages 1687-1721, December.
    6. Kopp, Robert E. & Golub, Alexander & Keohane, Nathaniel O. & Onda, Chikara, 2012. "The influence of the specification of climate change damages on the social cost of carbon," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 6, pages 1-40.
    7. Kopp, Robert E. & Mignone, Bryan K., 2012. "The US government's social cost of carbon estimates after their first two years: Pathways for improvement," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 6, pages 1-41.

  8. Cooke, Roger M. & Kelly, G.N., 2010. "Climate Change Uncertainty Quantification: Lessons Learned from the Joint EU-USNRC Project on Uncertainty Analysis of Probabilistic Accident Consequence Codes," RFF Working Paper Series dp-10-29, Resources for the Future.

    Cited by:

    1. Werner, Christoph & Bedford, Tim & Cooke, Roger M. & Hanea, Anca M. & Morales-Nápoles, Oswaldo, 2017. "Expert judgement for dependence in probabilistic modelling: A systematic literature review and future research directions," European Journal of Operational Research, Elsevier, vol. 258(3), pages 801-819.
    2. Jean Baccou & Eric Chojnacki, 2014. "A practical methodology for information fusion in presence of uncertainty: application to the analysis of a nuclear benchmark," Environment Systems and Decisions, Springer, vol. 34(2), pages 237-248, June.

  9. Kousky, Carolyn & Cooke, Roger, 2009. "Climate Change and Risk Management: Challenges for Insurance, Adaptation, and Loss Estimation," RFF Working Paper Series dp-09-03-rev, Resources for the Future.

    Cited by:

    1. Eakin, Hallie & Keele, Svenja & Lueck, Vanessa, 2022. "Uncomfortable knowledge: Mechanisms of urban development in adaptation governance," World Development, Elsevier, vol. 159(C).
    2. Christian L. E. Franzke, 2017. "Impacts of a Changing Climate on Economic Damages and Insurance," Economics of Disasters and Climate Change, Springer, vol. 1(1), pages 95-110, June.
    3. Kousky, Carolyn & Cooke, Roger M., 2009. "The Unholy Trinity: Fat Tails, Tail Dependence, and Micro-Correlations," RFF Working Paper Series dp-09-36-rev.pdf, Resources for the Future.
    4. Kousky, Carolyn & Rostapshova, Olga & Toman, Michael & Zeckhauser, Richard, 2009. "Responding to Threats of Climate Change Mega-Catastrophes," RFF Working Paper Series dp-09-45, Resources for the Future.
    5. Botzen, W.J.W. & van den Bergh, J.C.J.M., 2012. "Risk attitudes to low-probability climate change risks: WTP for flood insurance," Journal of Economic Behavior & Organization, Elsevier, vol. 82(1), pages 151-166.
    6. David Cooley & Christopher Galik & Thomas Holmes & Carolyn Kousky & Roger Cooke, 2012. "Managing dependencies in forest offset projects: toward a more complete evaluation of reversal risk," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 17(1), pages 17-24, January.
    7. Harry Joe & Haijun Li, 2011. "Tail Risk of Multivariate Regular Variation," Methodology and Computing in Applied Probability, Springer, vol. 13(4), pages 671-693, December.
    8. Garg, Amit & Naswa, Prakriti & Shukla, P.R., 2015. "Energy infrastructure in India: Profile and risks under climate change," Energy Policy, Elsevier, vol. 81(C), pages 226-238.
    9. Jacqueline Boucher & Yves Smeers, 2011. "Energy Security and Long-term Arrangements," Chapters, in: Jean-Michel Glachant & Dominique Finon & Adrien de Hauteclocque (ed.), Competition, Contracts and Electricity Markets, chapter 1, Edward Elgar Publishing.
    10. Yonatan Strauch & Truzaar Dordi & Angela Carter, 2020. "Constraining fossil fuels based on 2 °C carbon budgets: the rapid adoption of a transformative concept in politics and finance," Climatic Change, Springer, vol. 160(2), pages 181-201, May.

  10. Kousky, Carolyn & Cooke, Roger M., 2009. "The Unholy Trinity: Fat Tails, Tail Dependence, and Micro-Correlations," RFF Working Paper Series dp-09-36-rev.pdf, Resources for the Future.

    Cited by:

    1. Ceballos, Francisco, 2016. "Estimating spatial basis risk in rainfall index insurance: Methodology and application to excess rainfall insurance in Uruguay," IFPRI discussion papers 1595, International Food Policy Research Institute (IFPRI).
    2. Tang, Qihe & Tong, Zhiwei & Xun, Li, 2022. "Portfolio risk analysis of excess of loss reinsurance," Insurance: Mathematics and Economics, Elsevier, vol. 102(C), pages 91-110.
    3. Tianyang Wang & James S. Dyer, 2012. "A Copulas-Based Approach to Modeling Dependence in Decision Trees," Operations Research, INFORMS, vol. 60(1), pages 225-242, February.
    4. Benjamin Jones & Michael Keen & Jon Strand, 2013. "Fiscal implications of climate change," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 20(1), pages 29-70, February.
    5. Alexander Vinel & Pavlo A. Krokhmal, 2017. "Certainty equivalent measures of risk," Annals of Operations Research, Springer, vol. 249(1), pages 75-95, February.
    6. Masih-Tehrani, Behdad & Xu, Susan H. & Kumara, Soundar & Li, Haijun, 2011. "A single-period analysis of a two-echelon inventory system with dependent supply uncertainty," Transportation Research Part B: Methodological, Elsevier, vol. 45(8), pages 1128-1151, September.
    7. Bozic, Marin & Newton, John & Thraen, Cameron S. & Gould, Brian W., 2012. "Livestock Gross Margin Insurance for Dairy: Designing Margin Insurance Contracts to Account for Tail Dependence Risk," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124718, Agricultural and Applied Economics Association.
    8. Cossette, Hélène & Marceau, Etienne & Mtalai, Itre, 2019. "Collective risk models with dependence," Insurance: Mathematics and Economics, Elsevier, vol. 87(C), pages 153-168.
    9. Ruili Sun & Tiefeng Ma & Shuangzhe Liu & Milind Sathye, 2019. "Improved Covariance Matrix Estimation for Portfolio Risk Measurement: A Review," JRFM, MDPI, vol. 12(1), pages 1-34, March.
    10. Gernot Wagner & Richard Zeckhauser, 2012. "Climate policy: hard problem, soft thinking," Climatic Change, Springer, vol. 110(3), pages 507-521, February.
    11. Clovis Freire, 2011. "Social and Economic Impact of Disasters: Estimating the Threshold between Low and High Levels of Risk," MPDD Working Paper Series WP/11/15, United Nations Economic and Social Commission for Asia and the Pacific (ESCAP).
    12. Tianyang Wang & James S. Dyer & Warren J. Hahn, 2017. "Sensitivity analysis of decision making under dependent uncertainties using copulas," EURO Journal on Decision Processes, Springer;EURO - The Association of European Operational Research Societies, vol. 5(1), pages 117-139, November.
    13. Michael Hanemann, 2010. "The Impact of Climate Change: An Economic Perspective," Chapters, in: Emilio Cerdá Tena & Xavier Labandeira (ed.), Climate Change Policies, chapter 2, Edward Elgar Publishing.
    14. Marc N. Conte & David L. Kelly, 2016. "An Imperfect Storm: Fat-Tailed Hurricane Damages, Insurance and Climate Policy," Working Papers 2016-01, University of Miami, Department of Economics.
    15. Conte, Marc N. & Kelly, David L., 2018. "An imperfect storm: Fat-tailed tropical cyclone damages, insurance, and climate policy," Journal of Environmental Economics and Management, Elsevier, vol. 92(C), pages 677-706.
    16. Furman, Edward & Kuznetsov, Alexey & Su, Jianxi & Zitikis, Ričardas, 2016. "Tail dependence of the Gaussian copula revisited," Insurance: Mathematics and Economics, Elsevier, vol. 69(C), pages 97-103.
    17. Christoph Werner & Tim Bedford & John Quigley, 2018. "Sequential Refined Partitioning for Probabilistic Dependence Assessment," Risk Analysis, John Wiley & Sons, vol. 38(12), pages 2683-2702, December.

Articles

  1. Kevin Rennert & Frank Errickson & Brian C. Prest & Lisa Rennels & Richard G. Newell & William Pizer & Cora Kingdon & Jordan Wingenroth & Roger Cooke & Bryan Parthum & David Smith & Kevin Cromar & Dela, 2022. "Comprehensive evidence implies a higher social cost of CO2," Nature, Nature, vol. 610(7933), pages 687-692, October.

    Cited by:

    1. Immervoll, Herwig & Linden, Jules & O'Donoghue, Cathal & Sologon, Denisa Maria, 2023. "Who Pays for Higher Carbon Prices? Illustration for Lithuania and a Research Agenda," IZA Discussion Papers 15868, Institute of Labor Economics (IZA).
    2. Davis G. Nelson & Elena A. Mikhailova & Hamdi A. Zurqani & Lili Lin & Zhenbang Hao & Christopher J. Post & Mark A. Schlautman & George B. Shepherd, 2024. "Soil-Based Emissions and Context-Specific Climate Change Planning to Support the United Nations (UN) Sustainable Development Goal (SDG) on Climate Action: A Case Study of Georgia (USA)," Land, MDPI, vol. 13(10), pages 1-24, October.
    3. Qian Zhou & Feng Gui & Benxuan Zhao & Jingyi Liu & Huiwen Cai & Kaida Xu & Sheng Zhao, 2024. "Examining the Social Costs of Carbon Emissions and the Ecosystem Service Value in Island Ecosystems: An Analysis of the Zhoushan Archipelago," Sustainability, MDPI, vol. 16(2), pages 1-19, January.
    4. Yoshifumi Konishi & Sho Kuroda & Shunsuke Managi, 2024. "Income-based or Place-based? Carbon Dividends under Spatial Distribution of Automobile Demand," Keio-IES Discussion Paper Series 2024-019, Institute for Economics Studies, Keio University.
    5. Dipankar Bera & Nilanjana Das Chatterjee & Santanu Dinda & Subrata Ghosh & Vivek Dhiman & Bashar Bashir & Beata Calka & Mohamed Zhran, 2024. "Assessment of Carbon Stock and Sequestration Dynamics in Response to Land Use and Land Cover Changes in a Tropical Landscape," Land, MDPI, vol. 13(10), pages 1-22, October.
    6. Ilea, Flavia-Maria & Cormos, Ana-Maria & Cristea, Vasile-Mircea & Cormos, Calin-Cristian, 2023. "Enhancing the post-combustion carbon dioxide carbon capture plant performance by setpoints optimization of the decentralized multi-loop and cascade control system," Energy, Elsevier, vol. 275(C).
    7. Ambec, Stefan & Esposito, Federico & Pacelli, Antonia, 2024. "The economics of carbon leakage mitigation policies," Journal of Environmental Economics and Management, Elsevier, vol. 125(C).
    8. Majid Hashemi & Glenn P. Jenkins & Frank Milne, 2023. "Renewable Energy Support Through Feed-in Tariffs: A Retrospective Stakeholder Analysis," Development Discussion Papers 2023-08, JDI Executive Programs.
    9. Desbordes, Rodolphe & Eberhardt, Markus, 2024. "Climate change and economic prosperity: Evidence from a flexible damage function," Journal of Environmental Economics and Management, Elsevier, vol. 125(C).
    10. Tracey Osborne & Sylvia Cifuentes & Laura Dev & Seánna Howard & Elisa Marchi & Lauren Withey & Marcelo Santos Rocha da Silva, 2024. "Climate justice, forests, and Indigenous Peoples: toward an alternative to REDD + for the Amazon," Climatic Change, Springer, vol. 177(8), pages 1-28, August.
    11. Eoin McLaughlin & Cristián Ducoing & Les Oxley, 2024. "Tracing Sustainability in the Long Run: Genuine Savings Estimates 1850–2018," NBER Chapters, in: Measuring and Accounting for Environmental Public Goods: A National Accounts Perspective, National Bureau of Economic Research, Inc.
    12. Laura Onofri & Cristina Ojeda & Itziar Ruiz-Gauna & Francisco Greno & Anil Markandya, 2024. "A Life Cycle and Economic Assessment of the Peggy Guggenheim Collection in Venice for Environmental and Economic Sustainability," Sustainability, MDPI, vol. 16(16), pages 1-39, August.
    13. Schleich, Joachim & Alsheimer, Sven, 2024. "The relationship between willingness to pay and carbon footprint knowledge: Are individuals willing to pay more to offset their carbon footprint if they learn about its size and distance to the 1.5 °C," Ecological Economics, Elsevier, vol. 219(C).
    14. Lin, Xu & van Wijnbergen, Sweder, 2023. "The Social Cost of Carbon under Climate Volatility Risk," CEPR Discussion Papers 18210, C.E.P.R. Discussion Papers.
    15. Sebastian Gabel & Dominik Molitor & Martin Spann, 2024. "The Effect of an Ad Ban on Retailer Sales: Insights from a Natural Experiment," Rationality and Competition Discussion Paper Series 501, CRC TRR 190 Rationality and Competition.
    16. Weiwei Xiong & Katsumasa Tanaka & Philippe Ciais & Daniel J. A. Johansson & Mariliis Lehtveer, 2022. "emIAM v1.0: an emulator for Integrated Assessment Models using marginal abatement cost curves," Papers 2212.12060, arXiv.org.
    17. Ogutu B. Osoro & Edward J. Oughton & Andrew R. Wilson & Akhil Rao, 2023. "Sustainability assessment of Low Earth Orbit (LEO) satellite broadband megaconstellations," Papers 2309.02338, arXiv.org, revised Mar 2024.
    18. Richard S. J. Tol, 2023. "Social cost of carbon estimates have increased over time," Nature Climate Change, Nature, vol. 13(6), pages 532-536, June.
    19. Benedetto, Vera & Ferrè, Francesca & Nuti, Sabina, 2024. "Including environmental and social sustainability in the planning process of healthcare services: A case study of cancer screening programs in an inner area in Italy," Health Policy, Elsevier, vol. 144(C).
    20. Jonah Busch & Jacob J. Bukoski & Susan C. Cook-Patton & Bronson Griscom & David Kaczan & Matthew D. Potts & Yuanyuan Yi & Jeffrey R. Vincent, 2024. "Cost-effectiveness of natural forest regeneration and plantations for climate mitigation," Nature Climate Change, Nature, vol. 14(9), pages 996-1002, September.
    21. Jon Sampedro & Stephanie Waldhoff & Marcus Sarofim & Rita Dingenen, 2023. "Marginal Damage of Methane Emissions: Ozone Impacts on Agriculture," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 84(4), pages 1095-1126, April.
    22. Tarsia, Romano, 2024. "Heterogeneous effects of weather shocks on firm economic performance," LSE Research Online Documents on Economics 124251, London School of Economics and Political Science, LSE Library.
    23. John Bistline & Kimberly A. Clausing & Neil Mehrotra & James H. Stock & Catherine Wolfram, 2024. "Climate Policy Reform Options in 2025," NBER Working Papers 32168, National Bureau of Economic Research, Inc.
    24. Robert Evan Sanders, 2024. "Dynamic Pricing and Organic Waste Bans: A Study of Grocery Retailers’ Incentives to Reduce Food Waste," Marketing Science, INFORMS, vol. 43(2), pages 289-316, March.
    25. Larch, Mario & Wanner, Joschka, 2024. "The consequences of non-participation in the Paris Agreement," European Economic Review, Elsevier, vol. 163(C).
    26. Ziapour, Behrooz M. & Alirezaei, Hadi & Ghorannevis, Sepideh, 2023. "Energy recovery from the enclosures between the glassing covers in a compact photovoltaic thermal collector," Renewable Energy, Elsevier, vol. 216(C).
    27. Zhen Xu & Grace Mapstone & Zeke Coady & Mengnan Wang & Tristan L. Spreng & Xinyu Liu & Davide Molino & Alexander C. Forse, 2024. "Enhancing electrochemical carbon dioxide capture with supercapacitors," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
    28. Marcus C. Sarofim & Christopher J. Smith & Parker Malek & Erin E. McDuffie & Corinne A. Hartin & Claire R. Lay & Sarah McGrath, 2024. "High radiative forcing climate scenario relevance analyzed with a ten-million-member ensemble," Nature Communications, Nature, vol. 15(1), pages 1-10, December.
    29. Mihailova, Darja & Vance, Colin, 2024. "Promoting active transportation: A comparative assessment of paths and prices," Ruhr Economic Papers 1083, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    30. Robert C. Schmidt & Moritz Drupp & Frikk Nesje & Hendrik Hoegen, 2022. "Testing the free-rider hypothesis in climate policy," Papers 2211.06209, arXiv.org.
    31. Juan Antonio Torrents Arevalo, 2024. "Climate Change versus Economic Growth: Case of Greenhouse Apply a Study of European Union Countries and England from 2010 to 2019 Using Linear Regression and Neural Networks," Sustainability, MDPI, vol. 16(5), pages 1-22, February.
    32. Marco Filippo Torchio & Umberto Lucia & Giulia Grisolia, 2024. "Development Indexes, Environmental Cost Impact, and Well-Being: Trends and Comparisons in Italy," Sustainability, MDPI, vol. 16(11), pages 1-21, May.
    33. Richard S. J. Tol, 2022. "A meta-analysis of the total economic impact of climate change," Papers 2207.12199, arXiv.org, revised Aug 2022.
    34. Prest, Brian C., 2023. "Disentangling the Roles of Growth Uncertainty, Discounting, and the Climate Beta on the Social Cost of Carbon," RFF Working Paper Series 23-41, Resources for the Future.
    35. Christian Fries & Lennart Quante, 2023. "Intergenerational Equity in Models of Climate Change Mitigation: Stochastic Interest Rates introduce Adverse Effects, but (Non-linear) Funding Costs can Improve Intergenerational Equity," Papers 2309.16186, arXiv.org, revised Sep 2023.
    36. Naudé, Wim, 2023. "Melancholy Hues: The Futility of Green Growth and Degrowth, and the Inevitability of Societal Collapse," IZA Discussion Papers 16139, Institute of Labor Economics (IZA).
    37. Peer, Stefanie & Müller, Johannes & Naqvi, Asjad & Straub, Markus, 2024. "Introducing shared, electric, autonomous vehicles (SAEVs) in sub-urban zones: Simulating the case of Vienna," Transport Policy, Elsevier, vol. 147(C), pages 232-243.
    38. Sara F. Camilleri & Anastasia Montgomery & Maxime A. Visa & Jordan L. Schnell & Zachariah E. Adelman & Mark Janssen & Emily A. Grubert & Susan C. Anenberg & Daniel E. Horton, 2023. "Air quality, health and equity implications of electrifying heavy-duty vehicles," Nature Sustainability, Nature, vol. 6(12), pages 1643-1653, December.
    39. Alexander Goetz & Ioana Marinica & Harald Mayr & Luca Mosetti & Renate Schubert, 2024. "Do mobile applications foster sustainable mobility? Evidence from a field experiment," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 160(1), pages 1-33, December.
    40. Richard S. J. Tol, 2024. "Database for the meta-analysis of the social cost of carbon (v2024.0)," Papers 2402.09125, arXiv.org.
    41. Azizbek Kamolov & Zafar Turakulov & Patrik Furda & Miroslav Variny & Adham Norkobilov & Marcos Fallanza, 2024. "Techno-Economic Feasibility Analysis of Post-Combustion Carbon Capture in an NGCC Power Plant in Uzbekistan," Clean Technol., MDPI, vol. 6(4), pages 1-32, October.
    42. John Bistline & Geoffrey Blanford & Maxwell Brown & Dallas Burtraw & Maya Domeshek & Jamil Farbes & Allen Fawcett & Anne Hamilton & Jesse Jenkins & Ryan Jones & Ben King & Hannah Kolus & John Larsen &, 2023. "Emissions and Energy Impacts of the Inflation Reduction Act," Papers 2307.01443, arXiv.org.
    43. Michael Grubb & Alexandra Poncia & Paul Drummond & Karsten Neuhoff & Jean-Charles Hourcade, 2023. "Policy complementarity and the paradox of carbon pricing," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 39(4), pages 711-730.
    44. Åsa Löfgren & Lassi Ahlvik & Inge den Bijgaart & Jessica Coria & Jūratė Jaraitė & Filip Johnsson & Johan Rootzén, 2024. "Green industrial policy for climate action in the basic materials industry," Climatic Change, Springer, vol. 177(9), pages 1-12, September.
    45. Paul-Simon Pugliesi & Laurie Marrauld & Catherine Lejeune, 2024. "Cost of Carbon in the Total Cost of Healthcare Procedures: A Methodological Challenge," Applied Health Economics and Health Policy, Springer, vol. 22(5), pages 599-607, September.
    46. Gössling, Stefan & Kees, Jessica & Litman, Todd & Humpe, Andreas, 2023. "The economic cost of a 130 kph speed limit in Germany," Ecological Economics, Elsevier, vol. 209(C).
    47. Larch, Mario & Wanner, Joschka, 2024. "The consequences of non-participation in the Paris Agreement," Open Access Publications from Kiel Institute for the World Economy 302105, Kiel Institute for the World Economy (IfW Kiel).
    48. Christian P. Fries & Lennart Quante, 2023. "Intergenerational Equitable Climate Change Mitigation: Negative Effects of Stochastic Interest Rates; Positive Effects of Financing," Papers 2312.07614, arXiv.org, revised May 2024.
    49. Wozny, Florian, 2024. "Tax Incidence in Heterogeneous Markets: The Pass-through of Air Passenger Taxes on Airfares," IZA Discussion Papers 16783, Institute of Labor Economics (IZA).
    50. Elisabeth Christen, 2024. "EU-Grenzausgleich. Ambitionierte Klimaziele und Wettbewerbsfähigkeit in Einklang bringen?," WIFO Research Briefs 2, WIFO.
    51. Schöller, Vanessa & Ulmer, Clara, 2023. "Can monetized carbon information increase pro-environmental behavior? Experimental evidence," Ecological Economics, Elsevier, vol. 206(C).
    52. Flavia-Maria Ilea & Ana-Maria Cormos & Vasile Mircea Cristea & Calin-Cristian Cormos, 2024. "Hybrid Advanced Control Strategy for Post-Combustion Carbon Capture Plant by Integrating PI and Model-Based Approaches," Energies, MDPI, vol. 17(12), pages 1-15, June.
    53. Andrea Molocchi & Giulio Mela, 2024. "Social Cost of Carbon as an International Benchmark to Drive Countries’ Carbon Pricing during the Transition," Sustainability, MDPI, vol. 16(19), pages 1-36, October.
    54. Philip J. Platts & Marije Schaafsma & R. Kerry Turner & Neil D. Burgess & Brendan Fisher & Boniface P. Mbilinyi & Pantaleo K. T. Munishi & Taylor H. Ricketts & Ruth D. Swetnam & Antje Ahrends & Biniam, 2023. "Inequitable Gains and Losses from Conservation in a Global Biodiversity Hotspot," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 86(3), pages 381-405, November.
    55. Thomas Knoke & Nick Hanley & Rosa Maria Roman-Cuesta & Ben Groom & Frank Venmans & Carola Paul, 2023. "Trends in tropical forest loss and the social value of emission reductions," Nature Sustainability, Nature, vol. 6(11), pages 1373-1384, November.
    56. Hazem Krichene & Thomas Vogt & Franziska Piontek & Tobias Geiger & Christof Schötz & Christian Otto, 2023. "The social costs of tropical cyclones," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
    57. Papp, Anna & Almond, Douglas & Zhang, Shuang, 2023. "Bitcoin and carbon dioxide emissions: Evidence from daily production decisions," Journal of Public Economics, Elsevier, vol. 227(C).

  2. Cooke, Roger M. & Marti, Deniz & Mazzuchi, Thomas, 2021. "Expert forecasting with and without uncertainty quantification and weighting: What do the data say?," International Journal of Forecasting, Elsevier, vol. 37(1), pages 378-387.

    Cited by:

    1. Howard, Peter H. & Sterner, Thomas, 2022. "Between Two Worlds: Methodological and Subjective Differences in Climate Impact Meta-Analyses," RFF Working Paper Series 22-10, Resources for the Future.
    2. Fathy, Mohammad & Kazemzadeh Haghighi, Foojan & Ahmadi, Mohammad, 2024. "Uncertainty quantification of reservoir performance using machine learning algorithms and structured expert judgment," Energy, Elsevier, vol. 288(C).
    3. Gayan Dharmarathne & Gabriela F. Nane & Andrew Robinson & Anca M. Hanea, 2023. "Shrinking the Variance in Experts’ “Classical” Weights Used in Expert Judgment Aggregation," Forecasting, MDPI, vol. 5(3), pages 1-14, August.
    4. Alipourfard, Nazanin & Arendt, Beatrix & Benjamin, Daniel Jacob & Benkler, Noam & Bishop, Michael Metcalf & Burstein, Mark & Bush, Martin & Caverlee, James & Chen, Yiling & Clark, Chae, 2021. "Systematizing Confidence in Open Research and Evidence (SCORE)," SocArXiv 46mnb, Center for Open Science.
    5. Ren, Xin & Nane, Gabriela F. & Terwel, Karel C. & van Gelder, Pieter H.A.J.M., 2024. "Measuring the impacts of human and organizational factors on human errors in the Dutch construction industry using structured expert judgement," Reliability Engineering and System Safety, Elsevier, vol. 244(C).
    6. He Jiang & Sheng Pan & Yao Dong & Jianzhou Wang, 2024. "Probabilistic electricity price forecasting based on penalized temporal fusion transformer," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(5), pages 1465-1491, August.
    7. Roger M. Cooke, 2023. "Averaging quantiles, variance shrinkage, and overconfidence," Futures & Foresight Science, John Wiley & Sons, vol. 5(1), March.

  3. Roger M. Cooke & Harry Joe & Bo Chang, 2020. "Vine copula regression for observational studies," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 104(2), pages 141-167, June.

    Cited by:

    1. Mohamad Khoirun Najib & Sri Nurdiati & Ardhasena Sopaheluwakan, 2022. "Multivariate fire risk models using copula regression in Kalimantan, Indonesia," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 113(2), pages 1263-1283, September.
    2. M. Mesfioui & T. Bouezmarni & M. Belalia, 2023. "Copula-based link functions in binary regression models," Statistical Papers, Springer, vol. 64(2), pages 557-585, April.

  4. Roger Cooke & Alexander Golub, 2020. "Market-based methods for monetizing uncertainty reduction," Environment Systems and Decisions, Springer, vol. 40(1), pages 3-13, March.

    Cited by:

    1. Zachary A. Collier & James H. Lambert & Igor Linkov, 2020. "Interdisciplinary mathematical methods for societal decision-making and resilience," Environment Systems and Decisions, Springer, vol. 40(1), pages 1-2, March.
    2. Derek Lemoine & Sarah Kapnick, 2024. "Financial markets value skillful forecasts of seasonal climate," Nature Communications, Nature, vol. 15(1), pages 1-10, December.

  5. Abigail R Colson & Itamar Megiddo & Gerardo Alvarez-Uria & Sumanth Gandra & Tim Bedford & Alec Morton & Roger M Cooke & Ramanan Laxminarayan, 2019. "Quantifying uncertainty about future antimicrobial resistance: Comparing structured expert judgment and statistical forecasting methods," PLOS ONE, Public Library of Science, vol. 14(7), pages 1-18, July.

    Cited by:

    1. M. Z. A. M. Jaffar & A. N. Zailan, 2021. "Antimicrobial Resistance (Amr)-Forecast For 30 Countries In Europe," Science Heritage Journal (GWS), Zibeline International Publishing, vol. 5(2), pages 44-48, November.

  6. Roger M Cooke & Bruce Wielicki, 2018. "Probabilistic reasoning about measurements of equilibrium climate sensitivity: combining disparate lines of evidence," Climatic Change, Springer, vol. 151(3), pages 541-554, December.

    Cited by:

    1. Masako Ikefuji & Jan R. Magnus, 2020. "The perception of climate sensitivity: Revealing priors from posteriors," ISER Discussion Paper 1111, Institute of Social and Economic Research, Osaka University.

  7. Abigail R Colson & Roger M Cooke, 2018. "Expert Elicitation: Using the Classical Model to Validate Experts’ Judgments," Review of Environmental Economics and Policy, Association of Environmental and Resource Economists, vol. 12(1), pages 113-132.

    Cited by:

    1. Carless, Travis S. & Redus, Kenneth & Dryden, Rachel, 2021. "Estimating nuclear proliferation and security risks in emerging markets using Bayesian Belief Networks," Energy Policy, Elsevier, vol. 159(C).
    2. Peter Harrison Howard & Derek Sylvan, 2020. "Wisdom of the experts: Using survey responses to address positive and normative uncertainties in climate-economic models," Climatic Change, Springer, vol. 162(2), pages 213-232, September.
    3. Claire Copeland & Britta Turner & Gareth Powells & Kevin Wilson, 2022. "In Search of Complementarity: Insights from an Exercise in Quantifying Qualitative Energy Futures," Energies, MDPI, vol. 15(15), pages 1-21, July.
    4. Misuri, Alessio & Landucci, Gabriele & Cozzani, Valerio, 2020. "Assessment of safety barrier performance in Natech scenarios," Reliability Engineering and System Safety, Elsevier, vol. 193(C).
    5. Elena Verdolini & Laura Díaz Anadón & Erin Baker & Valentina Bosetti & Lara Aleluia Reis, 2018. "Future Prospects for Energy Technologies: Insights from Expert Elicitations," Review of Environmental Economics and Policy, Association of Environmental and Resource Economists, vol. 12(1), pages 133-153.
    6. Hathout, Michel & Vuillet, Marc & Carvajal, Claudio & Peyras, Laurent & Diab, Youssef, 2019. "Expert judgments calibration and combination for assessment of river levee failure probability," Reliability Engineering and System Safety, Elsevier, vol. 188(C), pages 377-392.
    7. Milford, James & Henrion, Max & Hunter, Chad & Newes, Emily & Hughes, Caroline & Baldwin, Samuel F., 2022. "Energy sector portfolio analysis with uncertainty," Applied Energy, Elsevier, vol. 306(PA).
    8. Schoch-Spana, Monica & Ravi, Sanjana J. & Martin, Elena K., 2022. "Modeling epidemic recovery: An expert elicitation on issues and approaches," Social Science & Medicine, Elsevier, vol. 292(C).
    9. Jiayuan Dong & Jiankan Liao & Xun Huan & Daniel Cooper, 2023. "Expert elicitation and data noise learning for material flow analysis using Bayesian inference," Journal of Industrial Ecology, Yale University, vol. 27(4), pages 1105-1122, August.
    10. Albara M. Mustafa & Abbas Barabadi & Tore Markeset & Masoud Naseri, 2021. "An overall performance index for wind farms: a case study in Norway Arctic region," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 12(5), pages 938-950, October.
    11. Jeremy Rohmer & Eric Chojnacki, 2021. "Forecast of environment systems using expert judgements: performance comparison between the possibilistic and the classical model," Environment Systems and Decisions, Springer, vol. 41(1), pages 131-146, March.
    12. Katarina Buganova & Maria Luskova & Jozef Kubas & Michal Brutovsky & Jaroslav Slepecky, 2021. "Sustainability of Business through Project Risk Identification with Use of Expert Estimates," Sustainability, MDPI, vol. 13(11), pages 1-17, June.
    13. Marcello Basili & Federico Crudu, 2021. "Aggregation of Experts Opinions and the Assessment of Tipping Points. Catastrophic Forecasts for Higher Temperature Changes," Department of Economics University of Siena 868, Department of Economics, University of Siena.
    14. Cooke, Roger M. & Marti, Deniz & Mazzuchi, Thomas, 2021. "Expert forecasting with and without uncertainty quantification and weighting: What do the data say?," International Journal of Forecasting, Elsevier, vol. 37(1), pages 378-387.
    15. Wongnak, Phrutsamon & Bord, Séverine & Donnet, Sophie & Hoch, Thierry & Beugnet, Frederic & Chalvet-Monfray, Karine, 2022. "A hierarchical Bayesian approach for incorporating expert opinions into parametric survival models: A case study of female Ixodes ricinus ticks exposed to various temperature and relative humidity con," Ecological Modelling, Elsevier, vol. 464(C).

  8. A. M. Hanea & G. F. Nane & B. A. Wielicki & R. M. Cooke, 2018. "Bayesian networks for identifying incorrect probabilistic intuitions in a climate trend uncertainty quantification context," Journal of Risk Research, Taylor & Francis Journals, vol. 21(9), pages 1146-1161, September.

    Cited by:

    1. Roger M Cooke & Bruce Wielicki, 2018. "Probabilistic reasoning about measurements of equilibrium climate sensitivity: combining disparate lines of evidence," Climatic Change, Springer, vol. 151(3), pages 541-554, December.
    2. Qazi, Abroon & Simsekler, Mecit Can Emre, 2023. "Nexus between drivers of COVID-19 and country risks," Socio-Economic Planning Sciences, Elsevier, vol. 85(C).
    3. Qazi, Abroon, 2023. "Exploring Global Competitiveness Index 4.0 through the lens of country risk," Technological Forecasting and Social Change, Elsevier, vol. 196(C).

  9. Roger Cooke & Alexander Golub & Bruce A. Wielicki & David F. Young & Martin G. Mlynczak & Rosemary R. Baize, 2017. "Using the social cost of carbon to value earth observing systems," Climate Policy, Taylor & Francis Journals, vol. 17(3), pages 330-345, April.

    Cited by:

    1. Durante Fabrizio & Puccetti Giovanni & Scherer Matthias & Vanduffel Steven, 2017. "The Vine Philosopher: An interview with Roger Cooke," Dependence Modeling, De Gruyter, vol. 5(1), pages 256-267, December.

  10. Werner, Christoph & Bedford, Tim & Cooke, Roger M. & Hanea, Anca M. & Morales-Nápoles, Oswaldo, 2017. "Expert judgement for dependence in probabilistic modelling: A systematic literature review and future research directions," European Journal of Operational Research, Elsevier, vol. 258(3), pages 801-819.

    Cited by:

    1. Lotte Yanore & Jaap Sok & Alfons Oude Lansink, 2024. "Do Dutch farmers invest in expansion despite increased policy uncertainty? A participatory Bayesian network approach," Agribusiness, John Wiley & Sons, Ltd., vol. 40(1), pages 93-115, January.
    2. Irina Vinogradova-Zinkevič, 2021. "Application of Bayesian Approach to Reduce the Uncertainty in Expert Judgments by Using a Posteriori Mean Function," Mathematics, MDPI, vol. 9(19), pages 1-23, October.
    3. Supper, Hendrik & Irresberger, Felix & Weiß, Gregor, 2020. "A comparison of tail dependence estimators," European Journal of Operational Research, Elsevier, vol. 284(2), pages 728-742.
    4. Ferretti, Valentina & Montibeller, Gilberto & von Winterfeldt, Detlof, 2023. "Testing the effectiveness of debiasing techniques to reduce overprecision in the elicitation of subjective continuous probability distributions," LSE Research Online Documents on Economics 115333, London School of Economics and Political Science, LSE Library.
    5. Ahti Salo & Edoardo Tosoni & Juho Roponen & Derek W. Bunn, 2022. "Using cross‐impact analysis for probabilistic risk assessment," Futures & Foresight Science, John Wiley & Sons, vol. 4(2), June.
    6. Abroon Qazi & Mecit Can Emre Simsekler, 2022. "Prioritizing interdependent drivers of financial, economic, and political risks using a data-driven probabilistic approach," Risk Management, Palgrave Macmillan, vol. 24(2), pages 164-185, June.
    7. Abroon Qazi & Mecit Can Emre Simsekler & Steven Formaneck, 2023. "Supply chain risk network value at risk assessment using Bayesian belief networks and Monte Carlo simulation," Annals of Operations Research, Springer, vol. 322(1), pages 241-272, March.
    8. Rafael Schwarzenegger & John Quigley & Lesley Walls, 2023. "Is eliciting dependency worth the effort? A study for the multivariate Poisson-Gamma probability model," Journal of Risk and Reliability, , vol. 237(5), pages 858-867, October.
    9. Kim, Byung-Cheol, 2022. "Multi-factor dependence modelling with specified marginals and structured association in large-scale project risk assessment," European Journal of Operational Research, Elsevier, vol. 296(2), pages 679-695.
    10. Christoph Werner & Tim Bedford & John Quigley, 2018. "Sequential Refined Partitioning for Probabilistic Dependence Assessment," Risk Analysis, John Wiley & Sons, vol. 38(12), pages 2683-2702, December.
    11. Ferretti, Valentina & Montibeller, Gilberto & von Winterfeldt, Detlof, 2023. "Testing the effectiveness of debiasing techniques to reduce overprecision in the elicitation of subjective continuous probability distributions," European Journal of Operational Research, Elsevier, vol. 304(2), pages 661-675.
    12. Suo, Weilan & Wang, Lin & Li, Jianping, 2021. "Probabilistic risk assessment for interdependent critical infrastructures: A scenario-driven dynamic stochastic model," Reliability Engineering and System Safety, Elsevier, vol. 214(C).
    13. Wang, Fan & Li, Heng & Dong, Chao & Ding, Lieyun, 2019. "Knowledge representation using non-parametric Bayesian networks for tunneling risk analysis," Reliability Engineering and System Safety, Elsevier, vol. 191(C).
    14. Lotte Yanore & Jaap Sok & Alfons Oude Lansink, 2023. "Anticipate, wait or don't invest? The strategic net present value approach to study expansion decisions under policy uncertainty," Agribusiness, John Wiley & Sons, Ltd., vol. 39(2), pages 535-548, March.

  11. Colson, Abigail R. & Cooke, Roger M., 2017. "Cross validation for the classical model of structured expert judgment," Reliability Engineering and System Safety, Elsevier, vol. 163(C), pages 109-120.

    Cited by:

    1. Hoffman, Sandra & Ashton, Lydia & Todd, Jessica E & Ahn, Jae-Wan & Berck, Peter, 2021. "Attributing U.S. Campylobacteriosis Cases to Food Sources, Season, and Temperature," Economic Research Report 327200, United States Department of Agriculture, Economic Research Service.
    2. Kevin Rennert & Brian C. Prest & William A. Pizer & Richard G. Newell & David Anthoff & Cora Kingdon & Lisa Rennels & Roger Cooke & Adrian E. Raftery & Hana Sevcikova & Frank Errickson, 2021. "The Social Cost of Carbon: Advances in Long-Term Probabilistic Projections of Population, GDP, Emissions, and Discount Rates," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 52(2 (Fall)), pages 223-305.
    3. Mohammad Yazdi, 2019. "A review paper to examine the validity of Bayesian network to build rational consensus in subjective probabilistic failure analysis," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 10(1), pages 1-18, February.
    4. Despoina Makariou & Pauline Barrieu & George Tzougas, 2021. "A Finite Mixture Modelling Perspective for Combining Experts’ Opinions with an Application to Quantile-Based Risk Measures," Risks, MDPI, vol. 9(6), pages 1-25, June.
    5. Mario P. Brito & Ian G. J. Dawson, 2020. "Predicting the Validity of Expert Judgments in Assessing the Impact of Risk Mitigation Through Failure Prevention and Correction," Risk Analysis, John Wiley & Sons, vol. 40(10), pages 1928-1943, October.
    6. Rongen, G. & Morales-Nápoles, O. & Kok, M., 2022. "Expert judgment-based reliability analysis of the Dutch flood defense system," Reliability Engineering and System Safety, Elsevier, vol. 224(C).
    7. Fathy, Mohammad & Kazemzadeh Haghighi, Foojan & Ahmadi, Mohammad, 2024. "Uncertainty quantification of reservoir performance using machine learning algorithms and structured expert judgment," Energy, Elsevier, vol. 288(C).
    8. Funk, Patrick & Davis, Alex & Vaishnav, Parth & Dewitt, Barry & Fuchs, Erica, 2020. "Individual inconsistency and aggregate rationality: Overcoming inconsistencies in expert judgment at the technical frontier," Technological Forecasting and Social Change, Elsevier, vol. 155(C).
    9. Nogal, Maria & Morales Nápoles, Oswaldo & O’Connor, Alan, 2019. "Structured expert judgement to understand the intrinsic vulnerability of traffic networks," Transportation Research Part A: Policy and Practice, Elsevier, vol. 127(C), pages 136-152.
    10. Hathout, Michel & Vuillet, Marc & Carvajal, Claudio & Peyras, Laurent & Diab, Youssef, 2019. "Expert judgments calibration and combination for assessment of river levee failure probability," Reliability Engineering and System Safety, Elsevier, vol. 188(C), pages 377-392.
    11. Patrick Afflerbach & Christopher Dun & Henner Gimpel & Dominik Parak & Johannes Seyfried, 2021. "A Simulation-Based Approach to Understanding the Wisdom of Crowds Phenomenon in Aggregating Expert Judgment," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 63(4), pages 329-348, August.
    12. Abigail R Colson & Roger M Cooke, 2018. "Expert Elicitation: Using the Classical Model to Validate Experts’ Judgments," Review of Environmental Economics and Policy, Association of Environmental and Resource Economists, vol. 12(1), pages 113-132.
    13. Jeremy Rohmer & Eric Chojnacki, 2021. "Forecast of environment systems using expert judgements: performance comparison between the possibilistic and the classical model," Environment Systems and Decisions, Springer, vol. 41(1), pages 131-146, March.
    14. Timothy McDaniels, 2021. "Four Decades of Transformation in Decision Analytic Practice for Societal Risk Management," Risk Analysis, John Wiley & Sons, vol. 41(3), pages 491-502, March.
    15. Ren, Xin & Nane, Gabriela F. & Terwel, Karel C. & van Gelder, Pieter H.A.J.M., 2024. "Measuring the impacts of human and organizational factors on human errors in the Dutch construction industry using structured expert judgement," Reliability Engineering and System Safety, Elsevier, vol. 244(C).
    16. Cooke, Roger M. & Marti, Deniz & Mazzuchi, Thomas, 2021. "Expert forecasting with and without uncertainty quantification and weighting: What do the data say?," International Journal of Forecasting, Elsevier, vol. 37(1), pages 378-387.
    17. Abigail R Colson & Itamar Megiddo & Gerardo Alvarez-Uria & Sumanth Gandra & Tim Bedford & Alec Morton & Roger M Cooke & Ramanan Laxminarayan, 2019. "Quantifying uncertainty about future antimicrobial resistance: Comparing structured expert judgment and statistical forecasting methods," PLOS ONE, Public Library of Science, vol. 14(7), pages 1-18, July.

  12. Michael Oppenheimer & Christopher M. Little & Roger M. Cooke, 2016. "Expert judgement and uncertainty quantification for climate change," Nature Climate Change, Nature, vol. 6(5), pages 445-451, May.

    Cited by:

    1. Peter Harrison Howard & Derek Sylvan, 2020. "Wisdom of the experts: Using survey responses to address positive and normative uncertainties in climate-economic models," Climatic Change, Springer, vol. 162(2), pages 213-232, September.
    2. Robert S. Pindyck, 2016. "The Social Cost of Carbon Revisited," NBER Working Papers 22807, National Bureau of Economic Research, Inc.
    3. Alexander M. R. Bakker & Domitille Louchard & Klaus Keller, 2017. "Sources and implications of deep uncertainties surrounding sea-level projections," Climatic Change, Springer, vol. 140(3), pages 339-347, February.
    4. De Bruin, Kelly & Kiran Krishnamurthy, Chandra, 2021. "Optimal Climate Policy with Fat-tailed Uncertainty: What the Models Can Tell Us," Papers WP697, Economic and Social Research Institute (ESRI).
    5. Howard, Peter H & Sterner, Thomas, 2016. "Few and Not So Far Between: A Meta-analysis of Climate Damage Estimates," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235696, Agricultural and Applied Economics Association.
    6. Jasper Verschuur & Dewi Bars & Caroline A. Katsman & Sierd de Vries & Roshanka Ranasinghe & Sybren S. Drijfhout & Stefan G. J. Aarninkhof, 2020. "Implications of ambiguity in Antarctic ice sheet dynamics for future coastal erosion estimates: a probabilistic assessment," Climatic Change, Springer, vol. 162(2), pages 859-876, September.
    7. Hylke Vries & Roderik S. W. Wal, 2016. "Response to commentary by J. L. Bamber, W. P. Aspinall and R. M. Cooke (2016)," Climatic Change, Springer, vol. 137(3), pages 329-332, August.
    8. Tony E. Wong & Alexander M. R. Bakker & Klaus Keller, 2017. "Impacts of Antarctic fast dynamics on sea-level projections and coastal flood defense," Climatic Change, Springer, vol. 144(2), pages 347-364, September.
    9. Casey Helgeson & Richard Bradley & Brian Hill, 2018. "Combining probability with qualitative degree-of-certainty metrics in assessment," Climatic Change, Springer, vol. 149(3), pages 517-525, August.
    10. Fathy, Mohammad & Kazemzadeh Haghighi, Foojan & Ahmadi, Mohammad, 2024. "Uncertainty quantification of reservoir performance using machine learning algorithms and structured expert judgment," Energy, Elsevier, vol. 288(C).
    11. Stephan Harrison & Tim Mighall & David A. Stainforth & Philip Allen & Mark Macklin & Edward Anderson & Jasper Knight & Dmitri Mauquoy & David Passmore & Brice Rea & Matteo Spagnolo & Sarah Shannon, 2019. "Uncertainty in geomorphological responses to climate change," Climatic Change, Springer, vol. 156(1), pages 69-86, September.
    12. Durante Fabrizio & Puccetti Giovanni & Scherer Matthias & Vanduffel Steven, 2017. "The Vine Philosopher: An interview with Roger Cooke," Dependence Modeling, De Gruyter, vol. 5(1), pages 256-267, December.
    13. A. Procter & T. McDaniels & R. Vignola, 2017. "Using expert judgments to inform economic evaluation of ecosystem-based adaptation decisions: watershed management for enhancing water supply for Tegucigalpa, Honduras," Environment Systems and Decisions, Springer, vol. 37(4), pages 410-422, December.
    14. David M Costello & Konrad J Kulacki & Mary E McCarthy & Scott D Tiegs & Bradley J Cardinale, 2018. "Ranking stressor impacts on periphyton structure and function with mesocosm experiments and environmental-change forecasts," PLOS ONE, Public Library of Science, vol. 13(9), pages 1-18, September.
    15. Charlie Wilson & Céline Guivarch & Elmar Kriegler & Bas Ruijven & Detlef P. Vuuren & Volker Krey & Valeria Jana Schwanitz & Erica L. Thompson, 2021. "Evaluating process-based integrated assessment models of climate change mitigation," Climatic Change, Springer, vol. 166(1), pages 1-22, May.
    16. Jérémy Rohmer & Gonéri Cozannet & Jean-Charles Manceau, 2019. "Addressing ambiguity in probabilistic assessments of future coastal flooding using possibility distributions," Climatic Change, Springer, vol. 155(1), pages 95-109, July.
    17. Timothy McDaniels, 2021. "Four Decades of Transformation in Decision Analytic Practice for Societal Risk Management," Risk Analysis, John Wiley & Sons, vol. 41(3), pages 491-502, March.
    18. Zhen Dai & Elizabeth T. Burns & Peter J. Irvine & Dustin H. Tingley & Jianhua Xu & David W. Keith, 2021. "Elicitation of US and Chinese expert judgments show consistent views on solar geoengineering," Palgrave Communications, Palgrave Macmillan, vol. 8(1), pages 1-9, December.
    19. Pablo Borges de Amorim & Pedro B. Chaffe, 2019. "Towards a comprehensive characterization of evidence in synthesis assessments: the climate change impacts on the Brazilian water resources," Climatic Change, Springer, vol. 155(1), pages 37-57, July.
    20. Marius Zumwald & Benedikt Knüsel & Christoph Baumberger & Gertrude Hirsch Hadorn & David N. Bresch & Reto Knutti, 2020. "Understanding and assessing uncertainty of observational climate datasets for model evaluation using ensembles," Wiley Interdisciplinary Reviews: Climate Change, John Wiley & Sons, vol. 11(5), September.
    21. Ren, Xin & Nane, Gabriela F. & Terwel, Karel C. & van Gelder, Pieter H.A.J.M., 2024. "Measuring the impacts of human and organizational factors on human errors in the Dutch construction industry using structured expert judgement," Reliability Engineering and System Safety, Elsevier, vol. 244(C).
    22. Julie E. Shortridge & Benjamin F. Zaitchik, 2018. "Characterizing climate change risks by linking robust decision frameworks and uncertain probabilistic projections," Climatic Change, Springer, vol. 151(3), pages 525-539, December.
    23. Brian H. MacGillivray, 2019. "Null Hypothesis Testing ≠ Scientific Inference: A Critique of the Shaky Premise at the Heart of the Science and Values Debate, and a Defense of Value‐Neutral Risk Assessment," Risk Analysis, John Wiley & Sons, vol. 39(7), pages 1520-1532, July.
    24. Robert William Fuller & Tony E Wong & Klaus Keller, 2017. "Probabilistic inversion of expert assessments to inform projections about Antarctic ice sheet responses," PLOS ONE, Public Library of Science, vol. 12(12), pages 1-13, December.
    25. Roger M. Cooke, 2023. "Averaging quantiles, variance shrinkage, and overconfidence," Futures & Foresight Science, John Wiley & Sons, vol. 5(1), March.

  13. W P Aspinall & R M Cooke & A H Havelaar & S Hoffmann & T Hald, 2016. "Evaluation of a Performance-Based Expert Elicitation: WHO Global Attribution of Foodborne Diseases," PLOS ONE, Public Library of Science, vol. 11(3), pages 1-14, March.

    Cited by:

    1. Colson, Abigail R. & Cooke, Roger M., 2017. "Cross validation for the classical model of structured expert judgment," Reliability Engineering and System Safety, Elsevier, vol. 163(C), pages 109-120.
    2. Robert L. Winkler & Yael Grushka-Cockayne & Kenneth C. Lichtendahl Jr. & Victor Richmond R. Jose, 2019. "Probability Forecasts and Their Combination: A Research Perspective," Decision Analysis, INFORMS, vol. 16(4), pages 239-260, December.
    3. Abigail R Colson & Roger M Cooke, 2018. "Expert Elicitation: Using the Classical Model to Validate Experts’ Judgments," Review of Environmental Economics and Policy, Association of Environmental and Resource Economists, vol. 12(1), pages 113-132.
    4. Abigail R Colson & Itamar Megiddo & Gerardo Alvarez-Uria & Sumanth Gandra & Tim Bedford & Alec Morton & Roger M Cooke & Ramanan Laxminarayan, 2019. "Quantifying uncertainty about future antimicrobial resistance: Comparing structured expert judgment and statistical forecasting methods," PLOS ONE, Public Library of Science, vol. 14(7), pages 1-18, July.

  14. Roger M. Cooke, 2015. "Messaging climate change uncertainty," Nature Climate Change, Nature, vol. 5(1), pages 8-10, January.

    Cited by:

    1. W P Aspinall & R M Cooke & A H Havelaar & S Hoffmann & T Hald, 2016. "Evaluation of a Performance-Based Expert Elicitation: WHO Global Attribution of Foodborne Diseases," PLOS ONE, Public Library of Science, vol. 11(3), pages 1-14, March.
    2. Simon French & Nikolaos Argyris & Stephanie M. Haywood & Matthew C. Hort & Jim Q. Smith, 2019. "Communicating Geographical Risks in Crisis Management: The Need for Research," Risk Analysis, John Wiley & Sons, vol. 39(1), pages 9-16, January.
    3. Zhang, Xi & Geng, Yong & Shao, Shuai & Wilson, Jeffrey & Song, Xiaoqian & You, Wei, 2020. "China’s non-fossil energy development and its 2030 CO2 reduction targets: The role of urbanization," Applied Energy, Elsevier, vol. 261(C).
    4. Fang, Kai & Li, Chenglin & Tang, Yiqi & He, Jianjian & Song, Junnian, 2022. "China’s pathways to peak carbon emissions: New insights from various industrial sectors," Applied Energy, Elsevier, vol. 306(PA).
    5. JL Bamber & WP Aspinall & RM Cooke, 2016. "A commentary on “how to interpret expert judgment assessments of twenty-first century sea-level rise” by Hylke de Vries and Roderik SW van de Wal," Climatic Change, Springer, vol. 137(3), pages 321-328, August.
    6. Céline Guivarch & Julie Rozenberg & Vanessa Schweizer, 2016. "The diversity of socio-economic pathways and CO2 emissions scenarios: Insights from the investigation of a scenarios database," Post-Print halshs-01292901, HAL.
    7. Zhang, Xi & Geng, Yong & Shao, Shuai & Dong, Huijuan & Wu, Rui & Yao, Tianli & Song, Jiekun, 2020. "How to achieve China’s CO2 emission reduction targets by provincial efforts? – An analysis based on generalized Divisia index and dynamic scenario simulation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 127(C).
    8. Colson, Abigail R. & Cooke, Roger M., 2017. "Cross validation for the classical model of structured expert judgment," Reliability Engineering and System Safety, Elsevier, vol. 163(C), pages 109-120.
    9. Thomas David Pol & Jochen Hinkel, 2019. "Uncertainty representations of mean sea-level change: a telephone game?," Climatic Change, Springer, vol. 152(3), pages 393-411, March.
    10. Durante Fabrizio & Puccetti Giovanni & Scherer Matthias & Vanduffel Steven, 2017. "The Vine Philosopher: An interview with Roger Cooke," Dependence Modeling, De Gruyter, vol. 5(1), pages 256-267, December.
    11. Charlie Wilson & Céline Guivarch & Elmar Kriegler & Bas Ruijven & Detlef P. Vuuren & Volker Krey & Valeria Jana Schwanitz & Erica L. Thompson, 2021. "Evaluating process-based integrated assessment models of climate change mitigation," Climatic Change, Springer, vol. 166(1), pages 1-22, May.
    12. Frank Stadler & Luke Houghton, 2020. "Breathing life into climate change adaptation," Journal of Industrial Ecology, Yale University, vol. 24(2), pages 400-409, April.
    13. Laura Diaz Anadon & Erin Baker & Valentina Bosetti & Lara Aleluia Reis, 2016. "Expert views - and disagreements - about the potential of energy technology R&D," Climatic Change, Springer, vol. 136(3), pages 677-691, June.
    14. Cooke, Roger M. & Marti, Deniz & Mazzuchi, Thomas, 2021. "Expert forecasting with and without uncertainty quantification and weighting: What do the data say?," International Journal of Forecasting, Elsevier, vol. 37(1), pages 378-387.
    15. Abigail R Colson & Itamar Megiddo & Gerardo Alvarez-Uria & Sumanth Gandra & Tim Bedford & Alec Morton & Roger M Cooke & Ramanan Laxminarayan, 2019. "Quantifying uncertainty about future antimicrobial resistance: Comparing structured expert judgment and statistical forecasting methods," PLOS ONE, Public Library of Science, vol. 14(7), pages 1-18, July.

  15. Roger M. Cooke, 2015. "The Aggregation of Expert Judgment: Do Good Things Come to Those Who Weight?," Risk Analysis, John Wiley & Sons, vol. 35(1), pages 12-15, January.

    Cited by:

    1. Christopher W. Karvetski & David R. Mandel & Daniel Irwin, 2020. "Improving Probability Judgment in Intelligence Analysis: From Structured Analysis to Statistical Aggregation," Risk Analysis, John Wiley & Sons, vol. 40(5), pages 1040-1057, May.
    2. Nemet, Gregory F. & Anadon, Laura Diaz & Verdolini, Elena, 2016. "Quantifying the Effects of Expert Selection and Elicitation Design on Experts’ Confidence in their Judgments about Future Energy Technologies," MITP: Mitigation, Innovation and Transformation Pathways 249349, Fondazione Eni Enrico Mattei (FEEM).
    3. Robert L. Winkler & Yael Grushka-Cockayne & Kenneth C. Lichtendahl Jr. & Victor Richmond R. Jose, 2019. "Probability Forecasts and Their Combination: A Research Perspective," Decision Analysis, INFORMS, vol. 16(4), pages 239-260, December.
    4. Anca M. Hanea & Marissa F. McBride & Mark A. Burgman & Bonnie C. Wintle, 2018. "The Value of Performance Weights and Discussion in Aggregated Expert Judgments," Risk Analysis, John Wiley & Sons, vol. 38(9), pages 1781-1794, September.
    5. Ren, Xin & Nane, Gabriela F. & Terwel, Karel C. & van Gelder, Pieter H.A.J.M., 2024. "Measuring the impacts of human and organizational factors on human errors in the Dutch construction industry using structured expert judgement," Reliability Engineering and System Safety, Elsevier, vol. 244(C).
    6. Vicki Bier, 2020. "The Role of Decision Analysis in Risk Analysis: A Retrospective," Risk Analysis, John Wiley & Sons, vol. 40(S1), pages 2207-2217, November.

  16. Cooke, R.M. & Kurowicka, D. & Wilson, K., 2015. "Sampling, conditionalizing, counting, merging, searching regular vines," Journal of Multivariate Analysis, Elsevier, vol. 138(C), pages 4-18.

    Cited by:

    1. Roger M. Cooke & Harry Joe & Bo Chang, 2020. "Vine copula regression for observational studies," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 104(2), pages 141-167, June.
    2. Pourkhanali, Armin & Kim, Jong-Min & Tafakori, Laleh & Fard, Farzad Alavi, 2016. "Measuring systemic risk using vine-copula," Economic Modelling, Elsevier, vol. 53(C), pages 63-74.
    3. Al Rahahleh, Naseem & Bhatti, M. Ishaq, 2017. "Co-movement measure of information transmission on international equity markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 470(C), pages 119-131.
    4. Ozonder, Gozde & Miller, Eric J., 2021. "Longitudinal investigation of skeletal activity episode timing decisions – A copula approach," Journal of choice modelling, Elsevier, vol. 40(C).
    5. Durante Fabrizio & Puccetti Giovanni & Scherer Matthias & Vanduffel Steven, 2017. "The Vine Philosopher: An interview with Roger Cooke," Dependence Modeling, De Gruyter, vol. 5(1), pages 256-267, December.
    6. Zilko, Aurelius A. & Kurowicka, Dorota, 2016. "Copula in a multivariate mixed discrete–continuous model," Computational Statistics & Data Analysis, Elsevier, vol. 103(C), pages 28-55.
    7. Zhu, Kailun & Kurowicka, Dorota & Nane, Gabriela F., 2021. "Simplified R-vine based forward regression," Computational Statistics & Data Analysis, Elsevier, vol. 155(C).
    8. Mikhail Semenov & Daulet Smagulov, 2017. "Portfolio Risk Assessment using Copula Models," Papers 1707.03516, arXiv.org.
    9. Aas Kjersti & Nagler Thomas & Jullum Martin & Løland Anders, 2021. "Explaining predictive models using Shapley values and non-parametric vine copulas," Dependence Modeling, De Gruyter, vol. 9(1), pages 62-81, January.
    10. Zhu, Kailun & Kurowicka, Dorota, 2022. "Regular vines with strongly chordal pattern of (conditional) independence," Computational Statistics & Data Analysis, Elsevier, vol. 172(C).

  17. T. Ganguly & K. J. Wilson & J. Quigley & R. M. Cooke & Alessandra Babuscia & Kar-Ming Cheung, 2014. "Reaction to ‘An approach to perform expert elicitation for engineering design risk analysis: methodology and experimental results’," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 177(4), pages 981-985, October.

    Cited by:

    1. Wilson, Kevin J., 2017. "An investigation of dependence in expert judgement studies with multiple experts," International Journal of Forecasting, Elsevier, vol. 33(1), pages 325-336.
    2. Carless, Travis S. & Redus, Kenneth & Dryden, Rachel, 2021. "Estimating nuclear proliferation and security risks in emerging markets using Bayesian Belief Networks," Energy Policy, Elsevier, vol. 159(C).
    3. Cameron J. Williams & Kevin J. Wilson & Nina Wilson, 2021. "A comparison of prior elicitation aggregation using the classical method and SHELF," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 184(3), pages 920-940, July.

  18. Patrycja L. Gradowska & Roger M. Cooke, 2014. "Estimating expected value of information using Bayesian belief networks: a case study in fish consumption advisory," Environment Systems and Decisions, Springer, vol. 34(1), pages 88-97, March.

    Cited by:

    1. Zou, Guang & Faber, Michael Havbro & González, Arturo & Banisoleiman, Kian, 2021. "Computing the value of information from periodic testing in holistic decision making under uncertainty," Reliability Engineering and System Safety, Elsevier, vol. 206(C).
    2. Jeffrey M. Keisler, 2014. "Value of information: facilitating targeted information acquisition in decision processes," Environment Systems and Decisions, Springer, vol. 34(1), pages 1-2, March.

  19. Roger Cooke & Bruce A. Wielicki & David F. Young & Martin G. Mlynczak, 2014. "Value of information for climate observing systems," Environment Systems and Decisions, Springer, vol. 34(1), pages 98-109, March.

    Cited by:

    1. Milad Eghtedari Naeini & Benjamin D. Leibowicz & J. Eric Bickel, 2020. "Can you trust a model whose output keeps changing? Interpreting changes in the social cost of carbon produced by the DICE model," Environment Systems and Decisions, Springer, vol. 40(3), pages 301-320, September.
    2. Adam H. Sobel, 2021. "Usable climate science is adaptation science," Climatic Change, Springer, vol. 166(1), pages 1-11, May.
    3. Zou, Guang & Faber, Michael Havbro & González, Arturo & Banisoleiman, Kian, 2021. "Computing the value of information from periodic testing in holistic decision making under uncertainty," Reliability Engineering and System Safety, Elsevier, vol. 206(C).
    4. Newbold, Stephen C. & Johnston, Robert J., 2020. "Valuing non-market valuation studies using meta-analysis: A demonstration using estimates of willingness-to-pay for water quality improvements," Journal of Environmental Economics and Management, Elsevier, vol. 104(C).
    5. Jeffrey M. Keisler, 2014. "Value of information: facilitating targeted information acquisition in decision processes," Environment Systems and Decisions, Springer, vol. 34(1), pages 1-2, March.

  20. Roger Cooke, 2013. "Uncertainty analysis comes to integrated assessment models for climate change…and conversely," Climatic Change, Springer, vol. 117(3), pages 467-479, April.

    Cited by:

    1. Peter Harrison Howard & Derek Sylvan, 2020. "Wisdom of the experts: Using survey responses to address positive and normative uncertainties in climate-economic models," Climatic Change, Springer, vol. 162(2), pages 213-232, September.
    2. Colson, Abigail R. & Cooke, Roger M., 2017. "Cross validation for the classical model of structured expert judgment," Reliability Engineering and System Safety, Elsevier, vol. 163(C), pages 109-120.
    3. Howard, Peter H & Sterner, Thomas, 2016. "Few and Not So Far Between: A Meta-analysis of Climate Damage Estimates," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235696, Agricultural and Applied Economics Association.
    4. Howard, Peter H. & Derek, Sylvan, 2016. "The Wisdom of the Economic Crowd: Calibrating Integrated Assessment Models Using Consensus," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235639, Agricultural and Applied Economics Association.
    5. Werner, Christoph & Bedford, Tim & Cooke, Roger M. & Hanea, Anca M. & Morales-Nápoles, Oswaldo, 2017. "Expert judgement for dependence in probabilistic modelling: A systematic literature review and future research directions," European Journal of Operational Research, Elsevier, vol. 258(3), pages 801-819.
    6. Bistline, John E., 2014. "Energy technology expert elicitations: An application to natural gas turbine efficiencies," Technological Forecasting and Social Change, Elsevier, vol. 86(C), pages 177-187.
    7. Terje Aven & Ortwin Renn, 2015. "An Evaluation of the Treatment of Risk and Uncertainties in the IPCC Reports on Climate Change," Risk Analysis, John Wiley & Sons, vol. 35(4), pages 701-712, April.
    8. Cooke, Roger M., 2014. "Deep and Shallow Uncertainty in Messaging Climate Change," RFF Working Paper Series dp-14-11, Resources for the Future.

  21. Halpern, Benjamin S. & Longo, Catherine & McLeod, Karen L. & Cooke, Roger & Fischhoff, Baruch & Samhouri, Jameal F. & Scarborough, Courtney, 2013. "Elicited preferences for components of ocean health in the California Current," Marine Policy, Elsevier, vol. 42(C), pages 68-73.

    Cited by:

    1. Kontogianni, A. & Tourkolias, C. & Damigos, D. & Skourtos, M. & Zanou, B., 2015. "Modeling expert judgment to assess cost-effectiveness of EU Marine Strategy Framework Directive programs of measures," Marine Policy, Elsevier, vol. 62(C), pages 203-212.

  22. R. M. Cooke, 2013. "Quantifying uncertainty on thin ice," Nature Climate Change, Nature, vol. 3(4), pages 311-312, April.

    Cited by:

    1. Kent D. Daniel & Robert B. Litterman & Gernot Wagner, 2016. "Applying Asset Pricing Theory to Calibrate the Price of Climate Risk," NBER Working Papers 22795, National Bureau of Economic Research, Inc.

  23. Daniele Canzio & Maofu Liao & Nariman Naber & Edward Pate & Adam Larson & Shenping Wu & Diana B. Marina & Jennifer F. Garcia & Hiten D. Madhani & Roger Cooke & Peter Schuck & Yifan Cheng & Geeta J. Na, 2013. "A conformational switch in HP1 releases auto-inhibition to drive heterochromatin assembly," Nature, Nature, vol. 496(7445), pages 377-381, April.

    Cited by:

    1. Zengyu Shao & Jiuwei Lu & Nelli Khudaverdyan & Jikui Song, 2024. "Multi-layered heterochromatin interaction as a switch for DIM2-mediated DNA methylation," Nature Communications, Nature, vol. 15(1), pages 1-18, December.
    2. Surya K Ghosh & Daniel Jost, 2018. "How epigenome drives chromatin folding and dynamics, insights from efficient coarse-grained models of chromosomes," PLOS Computational Biology, Public Library of Science, vol. 14(5), pages 1-26, May.
    3. Tengfei Wang & Shuxiang Shi & Yuanyuan Shi & Peipei Jiang & Ganlu Hu & Qinying Ye & Zhan Shi & Kexin Yu & Chenguang Wang & Guoping Fan & Suwen Zhao & Hanhui Ma & Alex C. Y. Chang & Zhi Li & Qian Bian , 2023. "Chemical-induced phase transition and global conformational reorganization of chromatin," Nature Communications, Nature, vol. 14(1), pages 1-18, December.

  24. Carolyn Kousky & Roger Cooke, 2012. "Explaining the Failure to Insure Catastrophic Risks," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 37(2), pages 206-227, April.

    Cited by:

    1. Arthur Charpentier & Benoît Le Maux, 2010. "Natural Catastrophe Insurance: When Should the Government Intervene?," Working Papers hal-00536925, HAL.
    2. Howard Kunreuther & Erwann Michel-Kerjan, 2015. "Demand for fixed-price multi-year contracts: Experimental evidence from insurance decisions," Journal of Risk and Uncertainty, Springer, vol. 51(2), pages 171-194, October.
    3. Bobtcheff, Catherine & Alary, David & Haritchabalet, Carole, 2020. "Organizing insurance supply for new and undiversifiable risks," CEPR Discussion Papers 15234, C.E.P.R. Discussion Papers.
    4. Wu, Yang-Che, 2015. "Reexamining the feasibility of diversification and transfer instruments on smoothing catastrophe risk," Insurance: Mathematics and Economics, Elsevier, vol. 64(C), pages 54-66.
    5. Max Tesselaar & W. J. Wouter Botzen & Toon Haer & Paul Hudson & Timothy Tiggeloven & Jeroen C. J. H. Aerts, 2020. "Regional Inequalities in Flood Insurance Affordability and Uptake under Climate Change," Sustainability, MDPI, vol. 12(20), pages 1-30, October.
    6. Kousky, Carolyn, 2012. "Informing Climate Adaptation: A Review of the Economic Costs of Natural Disasters, Their Determinants, and Risk Reduction Options," RFF Working Paper Series dp-12-28, Resources for the Future.
    7. Alexis Louaas & Pierre Picard, 2018. "Optimal insurance coverage of low probability-high severity risks," Working Papers hal-01924408, HAL.
    8. Arthur Charpentier & Benoît Le Maux, 2014. "Natural catastrophe insurance: How should the government intervene?," Post-Print halshs-01018022, HAL.
    9. Amanda Savitt, 2017. "Insurance as a tool for hazard risk management? An evaluation of the literature," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 86(2), pages 583-599, March.
    10. Anson T. Y. Ho & Kim Huynh & David T. Jacho-Chávez & Geneviève Vallée, 2023. "We Didn’t Start the Fire: Effects of a Natural Disaster on Consumers’ Financial Distress," Staff Working Papers 23-15, Bank of Canada.
    11. Ben Ammar, Semir & Braun, Alexander & Eling, Martin, 2015. "Alternative Risk Transfer and Insurance-Linked Securities: Trends, Challenges and New Market Opportunities," I.VW HSG Schriftenreihe, University of St.Gallen, Institute of Insurance Economics (I.VW-HSG), volume 56, number 56.
    12. Leblois, A. & Le Cotty, T. & Maître d'Hôtel, E., 2020. "How Might Climate Change Influence farmers' Demand for Index-Based Insurance?," Ecological Economics, Elsevier, vol. 176(C).
    13. Noy, Ilan & duPont IV, William, 2016. "The long-term consequences of natural disasters — A summary of the literature," Working Paper Series 19397, Victoria University of Wellington, School of Economics and Finance.
    14. Thomas Holzheu & Ginger Turner, 2018. "The Natural Catastrophe Protection Gap: Measurement, Root Causes and Ways of Addressing Underinsurance for Extreme Events†," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 43(1), pages 37-71, January.
    15. Thomas G. Koch, 2017. "The Shifting Shape of Risk: Endogenous Market Failure for Insurance," Risks, MDPI, vol. 5(1), pages 1-13, January.
    16. Conte, Marc N. & Kelly, David L., 2018. "An imperfect storm: Fat-tailed tropical cyclone damages, insurance, and climate policy," Journal of Environmental Economics and Management, Elsevier, vol. 92(C), pages 677-706.
    17. Poontirakul, Porntida & Brown, Charlotte & Noy, Ilan & Seville, Erica & Vargo, John, 2016. "The role of commercial insurance in post-disaster recovery: Quantitative evidence from the 2011 Christchurch earthquake," Working Paper Series 19396, Victoria University of Wellington, School of Economics and Finance.
    18. Alexis Louaas & Pierre Picard, 2020. "Optimal insurance coverage of low-probability catastrophic risks," Working Papers hal-02875534, HAL.
    19. Wu, Yang-Che, 2020. "Equilibrium in natural catastrophe insurance market under disaster-resistant technologies, financial innovations and government interventions," Insurance: Mathematics and Economics, Elsevier, vol. 95(C), pages 116-128.
    20. Jiazhen Peng & Xiaojun Shan & Yang Gao & Yohannes Kesete & Rachel Davidson & Linda Nozick & Jamie Kruse, 2014. "Modeling the integrated roles of insurance and retrofit in managing natural disaster risk: a multi-stakeholder perspective," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 74(2), pages 1043-1068, November.
    21. Erwann Michel-Kerjan, 2013. "Finance des risques catastrophiques. Le marché américain est en plein bouleversement," Revue économique, Presses de Sciences-Po, vol. 64(4), pages 615-634.
    22. Narges Hajimoladarvish, 2017. "Very Low Probabilities in the Loss Domain," The Geneva Risk and Insurance Review, Palgrave Macmillan;International Association for the Study of Insurance Economics (The Geneva Association), vol. 42(1), pages 41-58, March.
    23. Carolyn Kousky & Howard Kunreuther, 2018. "Risk Management Roles of the Public and Private Sector," Risk Management and Insurance Review, American Risk and Insurance Association, vol. 21(1), pages 181-204, March.
    24. Christian Biener & Martin Eling, 2013. "Recent Research Developments Affecting Nonlife Insurance—The CAS Risk Premium Project 2012 Update," Risk Management and Insurance Review, American Risk and Insurance Association, vol. 16(2), pages 219-231, September.
    25. Benjamin L. Collier & Marc A. Ragin, 2020. "The Influence of Sellers on Contract Choice: Evidence from Flood Insurance," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 87(2), pages 523-557, June.
    26. Menna Hassan & Nourhan Sakr & Arthur Charpentier, 2022. "Government Intervention in Catastrophe Insurance Markets: A Reinforcement Learning Approach," Papers 2207.01010, arXiv.org.
    27. Billimoria, Farhad & Fele, Filiberto & Savelli, Iacopo & Morstyn, Thomas & McCulloch, Malcolm, 2022. "An insurance mechanism for electricity reliability differentiation under deep decarbonization," Applied Energy, Elsevier, vol. 321(C).
    28. Michael Faure & Shu Li, 2020. "Risk shifting in the context of 3D printing: an insurability perspective," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 45(3), pages 482-507, July.
    29. Morshedi, Mohamad Ali & Kashani, Hamed, 2022. "Assessment of vulnerability reduction policies: Integration of economic and cognitive models of decision-making," Reliability Engineering and System Safety, Elsevier, vol. 217(C).
    30. Yohannes Kesete & Jiazhen Peng & Yang Gao & Xiaojun Shan & Rachel A. Davidson & Linda K. Nozick & Jamie Kruse, 2014. "Modeling Insurer‐Homeowner Interactions in Managing Natural Disaster Risk," Risk Analysis, John Wiley & Sons, vol. 34(6), pages 1040-1055, June.
    31. Narges Hajimoladarvish, 2017. "Very Low Probabilities in the Loss Domain," The Geneva Papers on Risk and Insurance Theory, Springer;International Association for the Study of Insurance Economics (The Geneva Association), vol. 42(1), pages 41-58, March.
    32. Kousky, Carolyn & Kunreuther, Howard, 2017. "Defining the Roles of the Public and Private Sector in Risk Communication, Risk Reduction, and Risk Transfer," RFF Working Paper Series 17-09, Resources for the Future.
    33. Hudson, Paul & Botzen, W.J. Wouter & Feyen, Luc & Aerts, Jeroen C.J.H., 2016. "Incentivising flood risk adaptation through risk based insurance premiums: Trade-offs between affordability and risk reduction," Ecological Economics, Elsevier, vol. 125(C), pages 1-13.
    34. Selene Perazzini & Giorgio Stefano Gnecco & Fabio Pammolli, 2020. "A Public-Private Insurance Model for Natural Risk Management: an Application to Seismic and Flood Risks on Residential Buildings in Italy," Papers 2006.05840, arXiv.org.

  25. David Cooley & Christopher Galik & Thomas Holmes & Carolyn Kousky & Roger Cooke, 2012. "Managing dependencies in forest offset projects: toward a more complete evaluation of reversal risk," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 17(1), pages 17-24, January.

    Cited by:

    1. Gren, Ing-Marie & Zeleke, Abenezer Aklilu, 2016. "Policy design for forest carbon sequestration: A review of the literature," Forest Policy and Economics, Elsevier, vol. 70(C), pages 128-136.
    2. Burke, Joshua & Gambhir, Ajay, 2022. "Policy incentives for greenhouse gas removal techniques: the risks of premature inclusion in carbon markets and the need for a multi-pronged policy framework," LSE Research Online Documents on Economics 115010, London School of Economics and Political Science, LSE Library.
    3. Nicolas Mansuy & Sylvie Gauthier & Yves Bergeron, 2013. "Afforestation opportunities when stand productivity is driven by a high risk of natural disturbance: a review of the open lichen woodland in the eastern boreal forest of Canada," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 18(2), pages 245-264, February.
    4. Christopher S. Galik & Pamela Jagger, 2015. "Bundles, Duties, and Rights: A Revised Framework for Analysis of Natural Resource Property Rights Regimes," Land Economics, University of Wisconsin Press, vol. 91(1), pages 76-90.

  26. Kousky, Carolyn & Kopp, Robert E. & Cooke, Roger M., 2011. "Risk premia and the social cost of carbon: A review," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 5, pages 1-24.
    See citations under working paper version above.
  27. R. E. J. Neslo & R. M. Cooke, 2011. "Modeling and validating stakeholder preferences with probabilistic inversion," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 27(2), pages 115-130, March.

    Cited by:

    1. Werner, Christoph & Bedford, Tim & Cooke, Roger M. & Hanea, Anca M. & Morales-Nápoles, Oswaldo, 2017. "Expert judgement for dependence in probabilistic modelling: A systematic literature review and future research directions," European Journal of Operational Research, Elsevier, vol. 258(3), pages 801-819.
    2. R. E. J. Neslo & W. Oei & M. P. Janssen, 2017. "Insight into “Calculated Risk”: An Application to the Prioritization of Emerging Infectious Diseases for Blood Transfusion Safety," Risk Analysis, John Wiley & Sons, vol. 37(9), pages 1783-1795, September.

  28. Hanea, A.M. & Kurowicka, D. & Cooke, R.M. & Ababei, D.A., 2010. "Mining and visualising ordinal data with non-parametric continuous BBNs," Computational Statistics & Data Analysis, Elsevier, vol. 54(3), pages 668-687, March.

    Cited by:

    1. KIM, Junyung & ZHAO, Xingang & SHAH, Asad Ullah Amin & KANG, Hyun Gook, 2021. "System risk quantification and decision making support using functional modeling and dynamic Bayesian network," Reliability Engineering and System Safety, Elsevier, vol. 215(C).
    2. Pierpaolo D’Urso & Vincenzina Vitale, 2020. "Bayesian Networks Model Averaging for Bes Indicators," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 151(3), pages 897-919, October.
    3. Hanea, Anca & Morales Napoles, Oswaldo & Ababei, Dan, 2015. "Non-parametric Bayesian networks: Improving theory and reviewing applications," Reliability Engineering and System Safety, Elsevier, vol. 144(C), pages 265-284.
    4. Flaminia Musella, 2013. "A PC algorithm variation for ordinal variables," Computational Statistics, Springer, vol. 28(6), pages 2749-2759, December.
    5. Pierpalo D’Urso & Livia Giovanni & Vincenzina Vitale, 2023. "A Bayesian network to analyse basketball players’ performances: a multivariate copula-based approach," Annals of Operations Research, Springer, vol. 325(1), pages 419-440, June.
    6. Pierpaolo D’Urso & Vincenzina Vitale, 2021. "Modeling Local BES Indicators by Copula-Based Bayesian Networks," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 153(3), pages 823-847, February.
    7. Hobæk Haff, Ingrid & Aas, Kjersti & Frigessi, Arnoldo & Lacal, Virginia, 2016. "Structure learning in Bayesian Networks using regular vines," Computational Statistics & Data Analysis, Elsevier, vol. 101(C), pages 186-208.
    8. Francis, Royce A. & Guikema, Seth D. & Henneman, Lucas, 2014. "Bayesian Belief Networks for predicting drinking water distribution system pipe breaks," Reliability Engineering and System Safety, Elsevier, vol. 130(C), pages 1-11.
    9. Morales-Nápoles, Oswaldo & Steenbergen, Raphaël D.J.M., 2014. "Analysis of axle and vehicle load properties through Bayesian Networks based on Weigh-in-Motion data," Reliability Engineering and System Safety, Elsevier, vol. 125(C), pages 153-164.
    10. Vincenzina Vitale & Flaminia Musella & Paola Vicard & Valentina Guizzi, 2020. "Modelling an energy market with Bayesian networks for non-normal data," Computational Management Science, Springer, vol. 17(1), pages 47-64, January.

  29. Arie H Havelaar & Floor van Rosse & Catalin Bucura & Milou A Toetenel & Juanita A Haagsma & Dorota Kurowicka & J (Hans) A P Heesterbeek & Niko Speybroeck & Merel F M Langelaar & Johanna W B van der Gi, 2010. "Prioritizing Emerging Zoonoses in The Netherlands," PLOS ONE, Public Library of Science, vol. 5(11), pages 1-9, November.

    Cited by:

    1. Erick VG Komba, 2017. "A Literature Survey of Common Parasitic Zoonoses Encountered at Post-Mortem Examination in Slaughter Stocks in Tanzania: Economic and Public Health Implications," Biomedical Journal of Scientific & Technical Research, Biomedical Research Network+, LLC, vol. 1(5), pages 1279-1284, September.
    2. Steven Duret & Hong‐Minh Hoang & Evelyne Derens‐Bertheau & Anthony Delahaye & Onrawee Laguerre & Laurent Guillier, 2019. "Combining Quantitative Risk Assessment of Human Health, Food Waste, and Energy Consumption: The Next Step in the Development of the Food Cold Chain?," Risk Analysis, John Wiley & Sons, vol. 39(4), pages 906-925, April.
    3. Alberto Garre & Geraldine Boué & Pablo S. Fernández & Jeanne‐Marie Membré & Jose A. Egea, 2020. "Evaluation of Multicriteria Decision Analysis Algorithms in Food Safety: A Case Study on Emerging Zoonoses Prioritization," Risk Analysis, John Wiley & Sons, vol. 40(2), pages 336-351, February.

  30. Roger Cooke, 2010. "Conundrums with Uncertainty Factors," Risk Analysis, John Wiley & Sons, vol. 30(3), pages 330-339, March.

    Cited by:

    1. Rob Goble & Dale Hattis, 2010. "Are Conundrums with Uncertainty Factors an Obstacle to Developing Probabilistic Interpretations of Noncancer Risks from Chemicals?," Risk Analysis, John Wiley & Sons, vol. 30(3), pages 340-345, March.
    2. Wout Slob, 2011. "“Conundrums?”," Risk Analysis, John Wiley & Sons, vol. 31(1), pages 3-4, January.

  31. Dorota Kurowicka & Catalin Bucura & Roger Cooke & Arie Havelaar, 2010. "Probabilistic Inversion in Priority Setting of Emerging Zoonoses," Risk Analysis, John Wiley & Sons, vol. 30(5), pages 715-723, May.

    Cited by:

    1. R. E. J. Neslo & W. Oei & M. P. Janssen, 2017. "Insight into “Calculated Risk”: An Application to the Prioritization of Emerging Infectious Diseases for Blood Transfusion Safety," Risk Analysis, John Wiley & Sons, vol. 37(9), pages 1783-1795, September.
    2. Hong Yao & Xin Qian & Hong Yin & Hailong Gao & Yulei Wang, 2015. "Regional Risk Assessment for Point Source Pollution Based on a Water Quality Model of the Taipu River, China," Risk Analysis, John Wiley & Sons, vol. 35(2), pages 265-277, February.

  32. Dorota Kurowicka & Maarten Nauta & Katarzyna Jozwiak & Roger Cooke, 2010. "Updating Parameters of the Chicken Processing Line Model," Risk Analysis, John Wiley & Sons, vol. 30(6), pages 934-944, June.

    Cited by:

    1. Chen Wang & Vicki M. Bier, 2013. "Expert Elicitation of Adversary Preferences Using Ordinal Judgments," Operations Research, INFORMS, vol. 61(2), pages 372-385, April.

  33. Ale, B.J.M. & Bellamy, L.J. & van der Boom, R. & Cooper, J. & Cooke, R.M. & Goossens, L.H.J. & Hale, A.R. & Kurowicka, D. & Morales, O. & Roelen, A.L.C. & Spouge, J., 2009. "Further development of a Causal model for Air Transport Safety (CATS): Building the mathematical heart," Reliability Engineering and System Safety, Elsevier, vol. 94(9), pages 1433-1441.

    Cited by:

    1. Roger M Cooke & Bruce Wielicki, 2018. "Probabilistic reasoning about measurements of equilibrium climate sensitivity: combining disparate lines of evidence," Climatic Change, Springer, vol. 151(3), pages 541-554, December.
    2. Montewka, Jakub & Goerlandt, Floris & Kujala, Pentti, 2014. "On a systematic perspective on risk for formal safety assessment (FSA)," Reliability Engineering and System Safety, Elsevier, vol. 127(C), pages 77-85.
    3. Luo, Pengcheng & Hu, Yang, 2013. "System risk evolution analysis and risk critical event identification based on event sequence diagram," Reliability Engineering and System Safety, Elsevier, vol. 114(C), pages 36-44.
    4. Zhang, Xiaoge & Mahadevan, Sankaran, 2021. "Bayesian network modeling of accident investigation reports for aviation safety assessment," Reliability Engineering and System Safety, Elsevier, vol. 209(C).
    5. Bauranov, Aleksandar & Rakas, Jasenka, 2024. "Bayesian network model of aviation safety: Impact of new communication technologies on mid-air collisions," Reliability Engineering and System Safety, Elsevier, vol. 243(C).
    6. Pandya, Dhruv & Podofillini, Luca & Emert, Frank & Lomax, Antony J. & Dang, Vinh N. & Sansavini, Giovanni, 2020. "Quantification of a human reliability analysis method for radiotherapy applications based on expert judgment aggregation," Reliability Engineering and System Safety, Elsevier, vol. 194(C).
    7. L. Robin Keller & Kelly M. Kophazi, 2012. "From the Editors ---Copulas, Group Preferences, Multilevel Defenders, Sharing Rewards, and Communicating Analytics," Decision Analysis, INFORMS, vol. 9(3), pages 213-218, September.
    8. Pasman, H.J. & Knegtering, B. & Rogers, W.J., 2013. "A holistic approach to control process safety risks: Possible ways forward," Reliability Engineering and System Safety, Elsevier, vol. 117(C), pages 21-29.
    9. Zhang, Yimin & Shortle, John & Sherry, Lance, 2015. "Methodology for collision risk assessment of an airspace flow corridor concept," Reliability Engineering and System Safety, Elsevier, vol. 142(C), pages 444-455.
    10. Rogerson, Ellen C. & Lambert, James H., 2012. "Prioritizing risks via several expert perspectives with application to runway safety," Reliability Engineering and System Safety, Elsevier, vol. 103(C), pages 22-34.
    11. Hossein Hassani & Xu Huang & Mansi Ghodsi, 2018. "Big Data and Causality," Annals of Data Science, Springer, vol. 5(2), pages 133-156, June.
    12. Rios Insua, D. & Alfaro, C. & Gomez, J. & Hernandez-Coronado, P. & Bernal, F., 2018. "A framework for risk management decisions in aviation safety at state level," Reliability Engineering and System Safety, Elsevier, vol. 179(C), pages 74-82.
    13. Mkrtchyan, L. & Podofillini, L. & Dang, V.N., 2015. "Bayesian belief networks for human reliability analysis: A review of applications and gaps," Reliability Engineering and System Safety, Elsevier, vol. 139(C), pages 1-16.
    14. Dorota Kurowicka, 2012. "Conditionalization of Copula-Based Models," Decision Analysis, INFORMS, vol. 9(3), pages 219-230, September.
    15. Miriam Andrejiova & Anna Grincova & Daniela Marasova & Peter Koščák, 2021. "Civil Aviation Occurrences in Slovakia and Their Evaluation Using Statistical Methods," Sustainability, MDPI, vol. 13(10), pages 1-17, May.
    16. Stroeve, Sybert H. & Som, Pradip & van Doorn, Bas A. & (Bert) Bakker, G.J., 2016. "Strengthening air traffic safety management by moving from outcome-based towards risk-based evaluation of runway incursions," Reliability Engineering and System Safety, Elsevier, vol. 147(C), pages 93-108.
    17. Zhou, Jianfeng & Reniers, Genserik & Khakzad, Nima, 2016. "Application of event sequence diagram to evaluate emergency response actions during fire-induced domino effects," Reliability Engineering and System Safety, Elsevier, vol. 150(C), pages 202-209.
    18. Bandeira, Michelle Carvalho Galvão Silva Pinto & Correia, Anderson Ribeiro & Martins, Marcelo Ramos, 2018. "General model analysis of aeronautical accidents involving human and organizational factors," Journal of Air Transport Management, Elsevier, vol. 69(C), pages 137-146.

  34. Lisa R. Racki & Janet G. Yang & Nariman Naber & Peretz D. Partensky & Ashley Acevedo & Thomas J. Purcell & Roger Cooke & Yifan Cheng & Geeta J. Narlikar, 2009. "The chromatin remodeller ACF acts as a dimeric motor to space nucleosomes," Nature, Nature, vol. 462(7276), pages 1016-1021, December.

    Cited by:

    1. Un Seng Chio & Eugene Palovcak & Anton A. A. Smith & Henriette Autzen & Elise N. Muñoz & Zanlin Yu & Feng Wang & David A. Agard & Jean-Paul Armache & Geeta J. Narlikar & Yifan Cheng, 2024. "Functionalized graphene-oxide grids enable high-resolution cryo-EM structures of the SNF2h-nucleosome complex without crosslinking," Nature Communications, Nature, vol. 15(1), pages 1-12, December.

  35. Radboud J. Duintjer Tebbens & Kimberly M. Thompson & M. G. Myriam Hunink & Thomas A. Mazzuchi & Daniel Lewandowski & Dorota Kurowicka & Roger M. Cooke, 2008. "Uncertainty and Sensitivity Analyses of a Dynamic Economic Evaluation Model for Vaccination Programs," Medical Decision Making, , vol. 28(2), pages 182-200, March.

    Cited by:

    1. Salacinska, K. & El Serafy, G.Y. & Los, F.J. & Blauw, A., 2010. "Sensitivity analysis of the two dimensional application of the Generic Ecological Model (GEM) to algal bloom prediction in the North Sea," Ecological Modelling, Elsevier, vol. 221(2), pages 178-190.
    2. Radboud J. Duintjer Tebbens & Mark A. Pallansch & Dominika A. Kalkowska & Steven G. F. Wassilak & Stephen L. Cochi & Kimberly M. Thompson, 2013. "Characterizing Poliovirus Transmission and Evolution: Insights from Modeling Experiences with Wild and Vaccine‐Related Polioviruses," Risk Analysis, John Wiley & Sons, vol. 33(4), pages 703-749, April.
    3. Radboud J. Duintjer Tebbens & Mark A. Pallansch & Konstantin M. Chumakov & Neal A. Halsey & Tapani Hovi & Philip D. Minor & John F. Modlin & Peter A. Patriarca & Roland W. Sutter & Peter F. Wright & S, 2013. "Review and Assessment of Poliovirus Immunity and Transmission: Synthesis of Knowledge Gaps and Identification of Research Needs," Risk Analysis, John Wiley & Sons, vol. 33(4), pages 606-646, April.
    4. Radboud J. Duintjer Tebbens & Mark A. Pallansch & Olen M. Kew & Roland W. Sutter & R. Bruce Aylward & Margaret Watkins & Howard Gary & James Alexander & Hamid Jafari & Stephen L. Cochi & Kimberly M. T, 2008. "Uncertainty and Sensitivity Analyses of a Decision Analytic Model for Posteradication Polio Risk Management," Risk Analysis, John Wiley & Sons, vol. 28(4), pages 855-876, August.
    5. Radboud J. Duintjer Tebbens & Mark A. Pallansch & Konstantin M. Chumakov & Neal A. Halsey & Tapani Hovi & Philip D. Minor & John F. Modlin & Peter A. Patriarca & Roland W. Sutter & Peter F. Wright & S, 2013. "Expert Review on Poliovirus Immunity and Transmission," Risk Analysis, John Wiley & Sons, vol. 33(4), pages 544-605, April.
    6. Christian Schaetti & Mitchell G Weiss & Said M Ali & Claire-Lise Chaignat & Ahmed M Khatib & Rita Reyburn & Radboud J Duintjer Tebbens & Raymond Hutubessy, 2012. "Costs of Illness Due to Cholera, Costs of Immunization and Cost-Effectiveness of an Oral Cholera Mass Vaccination Campaign in Zanzibar," PLOS Neglected Tropical Diseases, Public Library of Science, vol. 6(10), pages 1-10, October.
    7. Emanuele Borgonovo & William Castaings & Stefano Tarantola, 2011. "Moment Independent Importance Measures: New Results and Analytical Test Cases," Risk Analysis, John Wiley & Sons, vol. 31(3), pages 404-428, March.
    8. Kimberly M. Thompson, 2013. "Modeling Poliovirus Risks and the Legacy of Polio Eradication," Risk Analysis, John Wiley & Sons, vol. 33(4), pages 505-515, April.
    9. Anna K. Lugnér & Sido D. Mylius & Jacco Wallinga, 2010. "Dynamic versus static models in cost‐effectiveness analyses of anti‐viral drug therapy to mitigate an influenza pandemic," Health Economics, John Wiley & Sons, Ltd., vol. 19(5), pages 518-531, May.
    10. Joke Bilcke & Philippe Beutels, 2009. "Reviewing the Cost Effectiveness of Rotavirus Vaccination," PharmacoEconomics, Springer, vol. 27(4), pages 281-297, April.

  36. Cooke, Roger M. & ElSaadany, Susie & Huang, Xinzheng, 2008. "On the performance of social network and likelihood-based expert weighting schemes," Reliability Engineering and System Safety, Elsevier, vol. 93(5), pages 745-756.

    Cited by:

    1. Bolger, Fergus & Wright, George, 2017. "Use of expert knowledge to anticipate the future: Issues, analysis and directions," International Journal of Forecasting, Elsevier, vol. 33(1), pages 230-243.
    2. Flandoli, F. & Giorgi, E. & Aspinall, W.P. & Neri, A., 2011. "Comparison of a new expert elicitation model with the Classical Model, equal weights and single experts, using a cross-validation technique," Reliability Engineering and System Safety, Elsevier, vol. 96(10), pages 1292-1310.
    3. Howard, Peter H. & Sterner, Thomas, 2022. "Between Two Worlds: Methodological and Subjective Differences in Climate Impact Meta-Analyses," RFF Working Paper Series 22-10, Resources for the Future.
    4. Mohammad Yazdi, 2019. "A review paper to examine the validity of Bayesian network to build rational consensus in subjective probabilistic failure analysis," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 10(1), pages 1-18, February.
    5. de Gusmão, Ana Paula Henriques & e Silva, Lúcio Camara & Silva, Maisa Mendonça & Poleto, Thiago & Costa, Ana Paula Cabral Seixas, 2016. "Information security risk analysis model using fuzzy decision theory," International Journal of Information Management, Elsevier, vol. 36(1), pages 25-34.
    6. Cao, Quoc Dung & Miles, Scott B. & Choe, Youngjun, 2022. "Infrastructure recovery curve estimation using Gaussian process regression on expert elicited data," Reliability Engineering and System Safety, Elsevier, vol. 217(C).
    7. Henriques de Gusmão, Ana Paula & Mendonça Silva, Maisa & Poleto, Thiago & Camara e Silva, Lúcio & Cabral Seixas Costa, Ana Paula, 2018. "Cybersecurity risk analysis model using fault tree analysis and fuzzy decision theory," International Journal of Information Management, Elsevier, vol. 43(C), pages 248-260.
    8. Jiayuan Dong & Jiankan Liao & Xun Huan & Daniel Cooper, 2023. "Expert elicitation and data noise learning for material flow analysis using Bayesian inference," Journal of Industrial Ecology, Yale University, vol. 27(4), pages 1105-1122, August.
    9. K. Graff & C. Lissak & Y. Thiery & O. Maquaire & S. Costa & B. Laignel, 2019. "Analysis and quantification of potential consequences in multirisk coastal context at different spatial scales (Normandy, France)," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 99(2), pages 637-664, November.
    10. Erin Baker & Olaitan Olaleye, 2013. "Combining Experts: Decomposition and Aggregation Order," Risk Analysis, John Wiley & Sons, vol. 33(6), pages 1116-1127, June.
    11. Cooke, Roger M., 2014. "Deep and Shallow Uncertainty in Messaging Climate Change," RFF Working Paper Series dp-14-11, Resources for the Future.
    12. Tasneem Mahmoud & Wamadeva Balachandran & Saleh Altayyar, 2024. "Advancing Sustainable Healthcare Technology Management: Developing a Comprehensive Risk Assessment Framework with a Fuzzy Analytical Hierarchy Process, Integrating External and Internal Factors in the," Sustainability, MDPI, vol. 16(18), pages 1-21, September.

  37. Cooke, Roger M. & Goossens, Louis L.H.J., 2008. "TU Delft expert judgment data base," Reliability Engineering and System Safety, Elsevier, vol. 93(5), pages 657-674.

    Cited by:

    1. Hammitt, James K. & Zhang, Yifan, 2012. "Combining Experts’ Judgments: Comparison of Algorithmic Methods using Synthetic Data," TSE Working Papers 12-293, Toulouse School of Economics (TSE).
    2. Geovanna Hinojoza-Castro & Montserrat Gómez-Delgado & Wenseslao Plata-Rocha, 2022. "Real Estate Developers as Agents in the Simulation of Urban Sprawl," Sustainability, MDPI, vol. 14(15), pages 1-12, July.
    3. Flandoli, F. & Giorgi, E. & Aspinall, W.P. & Neri, A., 2011. "Comparison of a new expert elicitation model with the Classical Model, equal weights and single experts, using a cross-validation technique," Reliability Engineering and System Safety, Elsevier, vol. 96(10), pages 1292-1310.
    4. Allaire, Douglas & Noel, George & Willcox, Karen & Cointin, Rebecca, 2014. "Uncertainty quantification of an Aviation Environmental Toolsuite," Reliability Engineering and System Safety, Elsevier, vol. 126(C), pages 14-24.
    5. Peter Harrison Howard & Derek Sylvan, 2020. "Wisdom of the experts: Using survey responses to address positive and normative uncertainties in climate-economic models," Climatic Change, Springer, vol. 162(2), pages 213-232, September.
    6. Christopher W. Karvetski & David R. Mandel & Daniel Irwin, 2020. "Improving Probability Judgment in Intelligence Analysis: From Structured Analysis to Statistical Aggregation," Risk Analysis, John Wiley & Sons, vol. 40(5), pages 1040-1057, May.
    7. Martine J. Barons & Lael E. Walsh & Edward E. Salakpi & Linda Nichols, 2024. "A Decision Support System for Sustainable Agriculture and Food Loss Reduction under Uncertain Agricultural Policy Frameworks," Agriculture, MDPI, vol. 14(3), pages 1-21, March.
    8. Stef Janssen & Alexei Sharpanskykh & Richard Curran, 2019. "AbSRiM: An Agent‐Based Security Risk Management Approach for Airport Operations," Risk Analysis, John Wiley & Sons, vol. 39(7), pages 1582-1596, July.
    9. Roger Cooke, 2013. "Uncertainty analysis comes to integrated assessment models for climate change…and conversely," Climatic Change, Springer, vol. 117(3), pages 467-479, April.
    10. Alexander M. R. Bakker & Domitille Louchard & Klaus Keller, 2017. "Sources and implications of deep uncertainties surrounding sea-level projections," Climatic Change, Springer, vol. 140(3), pages 339-347, February.
    11. Misuri, Alessio & Landucci, Gabriele & Cozzani, Valerio, 2020. "Assessment of safety barrier performance in Natech scenarios," Reliability Engineering and System Safety, Elsevier, vol. 193(C).
    12. Guo, Jian & (Steven) Li, Zhaojun & (Judy) Jin, Jionghua, 2018. "System reliability assessment with multilevel information using the Bayesian melding method," Reliability Engineering and System Safety, Elsevier, vol. 170(C), pages 146-158.
    13. Hammitt, James K. & Roman, Henry A. & Stieb, David M. & Walsh, Tyra L., 2012. "Expert Elicitation of the Value per Statistical Life in an Air Pollution Context," TSE Working Papers 12-290, Toulouse School of Economics (TSE).
    14. JL Bamber & WP Aspinall & RM Cooke, 2016. "A commentary on “how to interpret expert judgment assessments of twenty-first century sea-level rise” by Hylke de Vries and Roderik SW van de Wal," Climatic Change, Springer, vol. 137(3), pages 321-328, August.
    15. Mohammad Yazdi, 2019. "A review paper to examine the validity of Bayesian network to build rational consensus in subjective probabilistic failure analysis," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 10(1), pages 1-18, February.
    16. Fergus Bolger & Gene Rowe, 2015. "There is Data, and then there is Data: Only Experimental Evidence will Determine the Utility of Differential Weighting of Expert Judgment," Risk Analysis, John Wiley & Sons, vol. 35(1), pages 21-26, January.
    17. Anil Gaba & Ilia Tsetlin & Robert L. Winkler, 2017. "Combining Interval Forecasts," Decision Analysis, INFORMS, vol. 14(1), pages 1-20, March.
    18. Colson, Abigail R. & Cooke, Roger M., 2017. "Cross validation for the classical model of structured expert judgment," Reliability Engineering and System Safety, Elsevier, vol. 163(C), pages 109-120.
    19. Fei Xiong & Yun Liu & Zhenjiang Zhang, 2011. "Dynamics With Co-Evolution Of Individual Inclination And Opinion," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 22(01), pages 51-62.
    20. Cao, Quoc Dung & Miles, Scott B. & Choe, Youngjun, 2022. "Infrastructure recovery curve estimation using Gaussian process regression on expert elicited data," Reliability Engineering and System Safety, Elsevier, vol. 217(C).
    21. Despoina Makariou & Pauline Barrieu & George Tzougas, 2021. "A Finite Mixture Modelling Perspective for Combining Experts’ Opinions with an Application to Quantile-Based Risk Measures," Risks, MDPI, vol. 9(6), pages 1-25, June.
    22. Makariou, Despoina & Barrieu, Pauline & Tzougas, George, 2021. "A finite mixture modelling perspective for combining experts’ opinions with an application to quantile-based risk measures," LSE Research Online Documents on Economics 110763, London School of Economics and Political Science, LSE Library.
    23. Rongen, G. & Morales-Nápoles, O. & Kok, M., 2022. "Expert judgment-based reliability analysis of the Dutch flood defense system," Reliability Engineering and System Safety, Elsevier, vol. 224(C).
    24. Elena Verdolini & Laura Díaz Anadón & Erin Baker & Valentina Bosetti & Lara Aleluia Reis, 2018. "Future Prospects for Energy Technologies: Insights from Expert Elicitations," Review of Environmental Economics and Policy, Association of Environmental and Resource Economists, vol. 12(1), pages 133-153.
    25. Robinson, Allen C. & Drake, Richard R. & Swan, M. Scot & Bennett, Nichelle L. & Smith, Thomas M. & Hooper, Russell & Laity, George R., 2021. "A software environment for effective reliability management for pulsed power design," Reliability Engineering and System Safety, Elsevier, vol. 211(C).
    26. Zhou, Fan & Page, Lionel & Perrons, Robert K. & Zheng, Zuduo & Washington, Simon, 2019. "Long-term forecasts for energy commodities price: What the experts think," Energy Economics, Elsevier, vol. 84(C).
    27. Eggstaff, Justin W. & Mazzuchi, Thomas A. & Sarkani, Shahram, 2014. "The effect of the number of seed variables on the performance of Cooke′s classical model," Reliability Engineering and System Safety, Elsevier, vol. 121(C), pages 72-82.
    28. Howard, Peter H. & Derek, Sylvan, 2016. "The Wisdom of the Economic Crowd: Calibrating Integrated Assessment Models Using Consensus," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235639, Agricultural and Applied Economics Association.
    29. Nogal, Maria & Morales Nápoles, Oswaldo & O’Connor, Alan, 2019. "Structured expert judgement to understand the intrinsic vulnerability of traffic networks," Transportation Research Part A: Policy and Practice, Elsevier, vol. 127(C), pages 136-152.
    30. Florian Pallas & Florian Böckermann & Oliver Goetz & Kirstin Tecklenburg, 2013. "Investigating Organisational Innovativeness: Developing A Multidimensional Formative Measure," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 17(04), pages 1-41.
    31. Hathout, Michel & Vuillet, Marc & Carvajal, Claudio & Peyras, Laurent & Diab, Youssef, 2019. "Expert judgments calibration and combination for assessment of river levee failure probability," Reliability Engineering and System Safety, Elsevier, vol. 188(C), pages 377-392.
    32. Lisa A. Robinson & James K. Hammitt, 2015. "Research Synthesis and the Value per Statistical Life," Risk Analysis, John Wiley & Sons, vol. 35(6), pages 1086-1100, June.
    33. Fabio Boschetti & Elizabeth A. Fulton & Nicola J. Grigg, 2014. "Citizens’ Views of Australia’s Future to 2050," Sustainability, MDPI, vol. 7(1), pages 1-26, December.
    34. Christopher W. Karvetski & Kenneth C. Olson & David R. Mandel & Charles R. Twardy, 2013. "Probabilistic Coherence Weighting for Optimizing Expert Forecasts," Decision Analysis, INFORMS, vol. 10(4), pages 305-326, December.
    35. Gayan Dharmarathne & Gabriela F. Nane & Andrew Robinson & Anca M. Hanea, 2023. "Shrinking the Variance in Experts’ “Classical” Weights Used in Expert Judgment Aggregation," Forecasting, MDPI, vol. 5(3), pages 1-14, August.
    36. Karner, Alex & Niemeier, Deb, 2013. "Civil rights guidance and equity analysis methods for regional transportation plans: a critical review of literature and practice," Journal of Transport Geography, Elsevier, vol. 33(C), pages 126-134.
    37. Werner, Christoph & Bedford, Tim & Cooke, Roger M. & Hanea, Anca M. & Morales-Nápoles, Oswaldo, 2017. "Expert judgement for dependence in probabilistic modelling: A systematic literature review and future research directions," European Journal of Operational Research, Elsevier, vol. 258(3), pages 801-819.
    38. David V. Budescu & Eva Chen, 2015. "Identifying Expertise to Extract the Wisdom of Crowds," Management Science, INFORMS, vol. 61(2), pages 267-280, February.
    39. Johnston, Reuben & Sarkani, Shahryar & Mazzuchi, Thomas & Holzer, Thomas & Eveleigh, Timothy, 2019. "Bayesian-model averaging using MCMCBayes for web-browser vulnerability discovery," Reliability Engineering and System Safety, Elsevier, vol. 183(C), pages 341-359.
    40. Patrick Afflerbach & Christopher Dun & Henner Gimpel & Dominik Parak & Johannes Seyfried, 2021. "A Simulation-Based Approach to Understanding the Wisdom of Crowds Phenomenon in Aggregating Expert Judgment," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 63(4), pages 329-348, August.
    41. Erin Baker & Olaitan Olaleye, 2013. "Combining Experts: Decomposition and Aggregation Order," Risk Analysis, John Wiley & Sons, vol. 33(6), pages 1116-1127, June.
    42. Anca M. Hanea & Marissa F. McBride & Mark A. Burgman & Bonnie C. Wintle, 2018. "The Value of Performance Weights and Discussion in Aggregated Expert Judgments," Risk Analysis, John Wiley & Sons, vol. 38(9), pages 1781-1794, September.
    43. Forys, Monika B. & Kurowicka, Dorota & Peppelman, Bas, 2013. "A probabilistic model for a gas explosion due to leakages in the grey cast iron gas mains," Reliability Engineering and System Safety, Elsevier, vol. 119(C), pages 270-279.
    44. Jeremy Rohmer & Eric Chojnacki, 2021. "Forecast of environment systems using expert judgements: performance comparison between the possibilistic and the classical model," Environment Systems and Decisions, Springer, vol. 41(1), pages 131-146, March.
    45. Lisa A. Robinson & James K. Hammitt, 2015. "Introduction to the Special Series on Research Synthesis: A Cross‐Disciplinary Approach," Risk Analysis, John Wiley & Sons, vol. 35(6), pages 963-970, June.
    46. Hanea, A.M. & McBride, M.F. & Burgman, M.A. & Wintle, B.C. & Fidler, F. & Flander, L. & Twardy, C.R. & Manning, B. & Mascaro, S., 2017. "I nvestigate D iscuss E stimate A ggregate for structured expert judgement," International Journal of Forecasting, Elsevier, vol. 33(1), pages 267-279.
    47. Cooke, Roger M., 2014. "Deep and Shallow Uncertainty in Messaging Climate Change," RFF Working Paper Series dp-14-11, Resources for the Future.
    48. Stroeve, Sybert H. & Som, Pradip & van Doorn, Bas A. & (Bert) Bakker, G.J., 2016. "Strengthening air traffic safety management by moving from outcome-based towards risk-based evaluation of runway incursions," Reliability Engineering and System Safety, Elsevier, vol. 147(C), pages 93-108.
    49. Justin W. Eggstaff & Thomas A. Mazzuchi & Shahram Sarkani, 2014. "The Development of Progress Plans Using a Performance‐Based Expert Judgment Model to Assess Technical Performance and Risk," Systems Engineering, John Wiley & Sons, vol. 17(4), pages 375-391, December.
    50. Sykes, Pete & Bell, Margaret & Dissanayake, Dilum, 2018. "Combined use of a backcast scenario and cross-impact matrix analysis to identify causes of uncertainty in a nascent transport infrastructure project," Transportation Research Part B: Methodological, Elsevier, vol. 116(C), pages 124-140.
    51. Wei Li & Ming J. Zuo & Ramin Moghaddass, 2011. "Optimal Design Of A Multi-State Weighted Series-Parallel System Using Physical Programming And Genetic Algorithms," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 28(04), pages 543-562.
    52. Marcelo Ramos Martins & Marco Aurélio Pestana & Enrique Andrés López Droguett, 2020. "A Methodology for Assessing the Probability of Occurrence of Undesired Events in the Tietê–Paraná Inland Waterway Based on Expert Opinion," Risk Analysis, John Wiley & Sons, vol. 40(6), pages 1279-1301, June.
    53. Anqiang Huang & Han Qiao & Shouyang Wang & John Liu, 2016. "Improving Forecasting Performance by Exploiting Expert Knowledge: Evidence from Guangzhou Port," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 15(02), pages 387-401, March.
    54. Laura Diaz Anadon & Erin Baker & Valentina Bosetti & Lara Aleluia Reis, 2016. "Expert views - and disagreements - about the potential of energy technology R&D," Climatic Change, Springer, vol. 136(3), pages 677-691, June.
    55. Ren, Xin & Nane, Gabriela F. & Terwel, Karel C. & van Gelder, Pieter H.A.J.M., 2024. "Measuring the impacts of human and organizational factors on human errors in the Dutch construction industry using structured expert judgement," Reliability Engineering and System Safety, Elsevier, vol. 244(C).
    56. Ignacio González López & Belén Quintero Ordóñez & Garikoitz Mendigutxia-Sorabilla & Eloísa Reche Urbano & Juan Antonio Fuentes Esparrell, 2020. "Construction of an Instrument for the Evaluation of the Effects of Information and Communication Technologies among Young People," Sustainability, MDPI, vol. 12(9), pages 1-21, May.
    57. Josie McCulloch & Jiaqi Ge & Jonathan A. Ward & Alison Heppenstall & J. Gareth Polhill & Nick Malleson, 2022. "Calibrating Agent-Based Models Using Uncertainty Quantification Methods," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 25(2), pages 1-1.
    58. Roger M. Cooke, 2015. "The Aggregation of Expert Judgment: Do Good Things Come to Those Who Weight?," Risk Analysis, John Wiley & Sons, vol. 35(1), pages 12-15, January.
    59. Hanea, D.M. & Jagtman, H.M. & van Alphen, L.L.M.M. & Ale, B.J.M., 2010. "Quantitative and qualitative analysis of the expert and non-expert opinion in fire risk in buildings," Reliability Engineering and System Safety, Elsevier, vol. 95(7), pages 729-741.
    60. Ioannou, I. & Aspinall, W. & Rush, D. & Bisby, L. & Rossetto, T., 2017. "Expert judgment-based fragility assessment of reinforced concrete buildings exposed to fire," Reliability Engineering and System Safety, Elsevier, vol. 167(C), pages 105-127.
    61. Abigail R Colson & Itamar Megiddo & Gerardo Alvarez-Uria & Sumanth Gandra & Tim Bedford & Alec Morton & Roger M Cooke & Ramanan Laxminarayan, 2019. "Quantifying uncertainty about future antimicrobial resistance: Comparing structured expert judgment and statistical forecasting methods," PLOS ONE, Public Library of Science, vol. 14(7), pages 1-18, July.
    62. Stroeve, Sybert H. & Blom, Henk A.P. & Bakker, G.J. (Bert), 2013. "Contrasting safety assessments of a runway incursion scenario: Event sequence analysis versus multi-agent dynamic risk modelling," Reliability Engineering and System Safety, Elsevier, vol. 109(C), pages 133-149.
    63. Wang, Fan & Li, Heng & Dong, Chao & Ding, Lieyun, 2019. "Knowledge representation using non-parametric Bayesian networks for tunneling risk analysis," Reliability Engineering and System Safety, Elsevier, vol. 191(C).

  38. Cooke, R. & Cripps, A. & Irwin, A. & Kolokotroni, M., 2007. "Alternative energy technologies in buildings: Stakeholder perceptions," Renewable Energy, Elsevier, vol. 32(14), pages 2320-2333.

    Cited by:

    1. Houda Elmustapha & Thomas Hoppe & Hans Bressers, 2018. "Understanding Stakeholders’ Views and the Influence of the Socio-Cultural Dimension on the Adoption of Solar Energy Technology in Lebanon," Sustainability, MDPI, vol. 10(2), pages 1-17, January.
    2. Berardi, Umberto, 2013. "Stakeholders’ influence on the adoption of energy-saving technologies in Italian homes," Energy Policy, Elsevier, vol. 60(C), pages 520-530.
    3. Cotton, Matthew & Van Schaik, Paul & Vall, Natasha & Lorrimer, Susan & Mountain, Andrea & Stubbs, Rosemary & Leighton, Charlotte & Leon, Edgar Segovia & Imani, Elena, 2024. "Just transitions and sociotechnical innovation in the social housing sector: An assemblage analysis of residents’ perspectives," Technology in Society, Elsevier, vol. 77(C).
    4. Curtius, Hans Christoph, 2018. "The adoption of building-integrated photovoltaics: barriers and facilitators," Renewable Energy, Elsevier, vol. 126(C), pages 783-790.
    5. Shahin Mokhlesian, 2014. "How Do Contractors Select Suppliers for Greener Construction Projects? The Case of Three Swedish Companies," Sustainability, MDPI, vol. 6(7), pages 1-19, June.
    6. Zhang, Wenjie & Liu, Shan & Li, Nianping & Xie, Hui & Li, Xuanqi, 2015. "Development forecast and technology roadmap analysis of renewable energy in buildings in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 49(C), pages 395-402.
    7. E. Adinyira & T. E. Kwofie & F. Quarcoo, 2018. "Stakeholder requirements for building energy efficiency in mass housing delivery: the House of Quality approach," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 20(3), pages 1115-1131, June.
    8. Didi van Doren & Peter PJ Driessen & Hens Runhaar & Mendel Giezen, 2018. "Scaling-up low-carbon urban initiatives: Towards a better understanding," Urban Studies, Urban Studies Journal Limited, vol. 55(1), pages 175-194, January.
    9. Joaquín Fuentes-del-Burgo & Elena Navarro-Astor & Nuno M. M. Ramos & João Poças Martins, 2021. "Exploring the Critical Barriers to the Implementation of Renewable Technologies in Existing University Buildings," Sustainability, MDPI, vol. 13(22), pages 1-24, November.
    10. Ochieng, E.G. & Jones, N. & Price, A.D.F. & Ruan, X. & Egbu, C.O & Zuofa, T., 2014. "Integration of energy efficient technologies in UK supermarkets," Energy Policy, Elsevier, vol. 67(C), pages 388-393.
    11. Bhatt, Brijesh & Singh, Anoop, 2020. "Stakeholders’ role in distribution loss reduction technology adoption in the Indian electricity sector: An actor-oriented approach," Energy Policy, Elsevier, vol. 137(C).
    12. Vito Albino & Umberto Berardi, 2012. "Green Buildings and Organizational Changes in Italian Case Studies," Business Strategy and the Environment, Wiley Blackwell, vol. 21(6), pages 387-400, September.
    13. Queena K. Qian & Edwin H. W. Chan & Abd Ghani Khalid, 2015. "Challenges in Delivering Green Building Projects: Unearthing the Transaction Costs (TCs)," Sustainability, MDPI, vol. 7(4), pages 1-22, March.

  39. Kurowicka, D. & Cooke, R.M., 2007. "Sampling algorithms for generating joint uniform distributions using the vine-copula method," Computational Statistics & Data Analysis, Elsevier, vol. 51(6), pages 2889-2906, March.

    Cited by:

    1. Catherine Bruneau & Alexis Flageollet & Zhun Peng, 2020. "Economic and financial risk factors, copula dependence and risk sensitivity of large multi-asset class portfolios," Annals of Operations Research, Springer, vol. 284(1), pages 165-197, January.
    2. Jong-Min Kim & Chanho Cho & Chulhee Jun & Won Yong Kim, 2020. "The Changing Dynamics of Board Independence: A Copula Based Quantile Regression Approach," JRFM, MDPI, vol. 13(11), pages 1-21, October.
    3. Aas, Kjersti & Czado, Claudia & Frigessi, Arnoldo & Bakken, Henrik, 2009. "Pair-copula constructions of multiple dependence," Insurance: Mathematics and Economics, Elsevier, vol. 44(2), pages 182-198, April.
    4. Genest Christian & Scherer Matthias, 2019. "The world of vines: An interview with Claudia Czado," Dependence Modeling, De Gruyter, vol. 7(1), pages 169-180, January.
    5. Catherine Bruneau & Alexis Flageollet & Zhun Peng, 2015. "Risk Factors, Copula Dependence and Risk Sensitivity of a Large Portfolio," Documents de recherche 15-03, Centre d'Études des Politiques Économiques (EPEE), Université d'Evry Val d'Essonne.
    6. Neshat Jahannemaei & Payam Khosravinia & Hadi Sanikhani & Rasoul Mirabbasi, 2023. "Toward analyzing meteorological droughts in western Iran: a multivariate approach based on vine copulas," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 116(2), pages 1903-1929, March.

  40. Cooke, Roger M. & Nauta, Maarten & Havelaar, Arie H. & van der Fels, Ine, 2006. "Probabilistic inversion for chicken processing lines," Reliability Engineering and System Safety, Elsevier, vol. 91(10), pages 1364-1372.

    Cited by:

    1. P. Vangay & J. Steingrimsson & M. Wiedmann & M. J. Stasiewicz, 2014. "Classification of Listeria monocytogenes Persistence in Retail Delicatessen Environments Using Expert Elicitation and Machine Learning," Risk Analysis, John Wiley & Sons, vol. 34(10), pages 1830-1845, October.
    2. Emily Ho & David V. Budescu & Valentina Bosetti & Detlef P. Vuuren & Klaus Keller, 2019. "Not all carbon dioxide emission scenarios are equally likely: a subjective expert assessment," Climatic Change, Springer, vol. 155(4), pages 545-561, August.
    3. Dorota Kurowicka & Maarten Nauta & Katarzyna Jozwiak & Roger Cooke, 2010. "Updating Parameters of the Chicken Processing Line Model," Risk Analysis, John Wiley & Sons, vol. 30(6), pages 934-944, June.
    4. Haphuriwat, N. & Bier, V.M., 2011. "Trade-offs between target hardening and overarching protection," European Journal of Operational Research, Elsevier, vol. 213(1), pages 320-328, August.

  41. Du, C. & Kurowicka, D. & Cooke, R.M., 2006. "Techniques for generic probabilistic inversion," Computational Statistics & Data Analysis, Elsevier, vol. 50(5), pages 1164-1187, March.

    Cited by:

    1. Bier, Vicki M. & Kosanoglu, Fuat, 2015. "Target-oriented utility theory for modeling the deterrent effects of counterterrorism," Reliability Engineering and System Safety, Elsevier, vol. 136(C), pages 35-46.
    2. Dorota Kurowicka & Maarten Nauta & Katarzyna Jozwiak & Roger Cooke, 2010. "Updating Parameters of the Chicken Processing Line Model," Risk Analysis, John Wiley & Sons, vol. 30(6), pages 934-944, June.
    3. Roger M. Cooke & Margaret MacDonell, 2008. "Regulating Under Uncertainty: Newsboy for Exposure Limits," Risk Analysis, John Wiley & Sons, vol. 28(3), pages 577-587, June.
    4. Cooke, Roger M. & Goossens, Louis L.H.J., 2008. "TU Delft expert judgment data base," Reliability Engineering and System Safety, Elsevier, vol. 93(5), pages 657-674.
    5. R. E. J. Neslo & W. Oei & M. P. Janssen, 2017. "Insight into “Calculated Risk”: An Application to the Prioritization of Emerging Infectious Diseases for Blood Transfusion Safety," Risk Analysis, John Wiley & Sons, vol. 37(9), pages 1783-1795, September.
    6. Dorota Kurowicka & Catalin Bucura & Roger Cooke & Arie Havelaar, 2010. "Probabilistic Inversion in Priority Setting of Emerging Zoonoses," Risk Analysis, John Wiley & Sons, vol. 30(5), pages 715-723, May.
    7. Chen Wang & Vicki M. Bier, 2013. "Expert Elicitation of Adversary Preferences Using Ordinal Judgments," Operations Research, INFORMS, vol. 61(2), pages 372-385, April.
    8. Kosanoglu, Fuat & Bier, Vicki M., 2020. "Target-oriented utility for interdiction of transportation networks," Reliability Engineering and System Safety, Elsevier, vol. 197(C).

  42. H. J. Van der Fels‐Klerx & Roger M. Cooke & Maarten N. Nauta & Louis H. Goossens & Arie H. Havelaar, 2005. "A Structured Expert Judgment Study for a Model of Campylobacter Transmission During Broiler‐Chicken Processing," Risk Analysis, John Wiley & Sons, vol. 25(1), pages 109-124, February.

    Cited by:

    1. World Health Organization, Foodborne Epidemiology Reference Group, Source Attribution Task Force, 2016. "Research Synthesis Methods in an Age of Globalized Risks: Lessons from the Global Burden of Foodborne Disease Expert Elicitation," Risk Analysis, John Wiley & Sons, vol. 36(2), pages 191-202, February.
    2. Christopher W. Karvetski & David R. Mandel & Daniel Irwin, 2020. "Improving Probability Judgment in Intelligence Analysis: From Structured Analysis to Statistical Aggregation," Risk Analysis, John Wiley & Sons, vol. 40(5), pages 1040-1057, May.
    3. Mitchell J. Small, 2008. "Methods for Assessing Uncertainty in Fundamental Assumptions and Associated Models for Cancer Risk Assessment," Risk Analysis, John Wiley & Sons, vol. 28(5), pages 1289-1308, October.
    4. Maarten J. Nauta & Wilma F. Jacobs‐Reitsma & Arie H. Havelaar, 2007. "A Risk Assessment Model for Campylobacter in Broiler Meat," Risk Analysis, John Wiley & Sons, vol. 27(4), pages 845-861, August.
    5. Radboud J. Duintjer Tebbens & Mark A. Pallansch & Konstantin M. Chumakov & Neal A. Halsey & Tapani Hovi & Philip D. Minor & John F. Modlin & Peter A. Patriarca & Roland W. Sutter & Peter F. Wright & S, 2013. "Review and Assessment of Poliovirus Immunity and Transmission: Synthesis of Knowledge Gaps and Identification of Research Needs," Risk Analysis, John Wiley & Sons, vol. 33(4), pages 606-646, April.
    6. Ides Boone & Yves Van der Stede & Kaatje Bollaerts & David Vose & Dominiek Maes & Jeroen Dewulf & Winy Messens & Georges Daube & Marc Aerts & Koen Mintiens, 2009. "NUSAP Method for Evaluating the Data Quality in a Quantitative Microbial Risk Assessment Model for Salmonella in the Pork Production Chain," Risk Analysis, John Wiley & Sons, vol. 29(4), pages 502-517, April.
    7. Dorota Kurowicka & Maarten Nauta & Katarzyna Jozwiak & Roger Cooke, 2010. "Updating Parameters of the Chicken Processing Line Model," Risk Analysis, John Wiley & Sons, vol. 30(6), pages 934-944, June.
    8. Karin Hoelzer & Haley F. Oliver & Larry R. Kohl & Jill Hollingsworth & Martin T. Wells & Martin Wiedmann, 2012. "Structured Expert Elicitation About Listeria monocytogenes Cross‐Contamination in the Environment of Retail Deli Operations in the United States," Risk Analysis, John Wiley & Sons, vol. 32(7), pages 1139-1156, July.

  43. Bunea, C. & Charitos, T. & Cooke, R.M. & Becker, G., 2005. "Two-stage Bayesian models—application to ZEDB project," Reliability Engineering and System Safety, Elsevier, vol. 90(2), pages 123-130.

    Cited by:

    1. Strigini, Lorenzo & Wright, David, 2014. "Bounds on survival probability given mean probability of failure per demand; and the paradoxical advantages of uncertainty," Reliability Engineering and System Safety, Elsevier, vol. 128(C), pages 66-83.
    2. Zhao, Xingyu & Littlewood, Bev & Povyakalo, Andrey & Strigini, Lorenzo & Wright, David, 2018. "Conservative claims for the probability of perfection of a software-based system using operational experience of previous similar systems," Reliability Engineering and System Safety, Elsevier, vol. 175(C), pages 265-282.
    3. Littlewood, Bev & Salako, Kizito & Strigini, Lorenzo & Zhao, Xingyu, 2020. "On reliability assessment when a software-based system is replaced by a thought-to-be-better one," Reliability Engineering and System Safety, Elsevier, vol. 197(C).
    4. Quigley, John & Hardman, Gavin & Bedford, Tim & Walls, Lesley, 2011. "Merging expert and empirical data for rare event frequency estimation: Pool homogenisation for empirical Bayes models," Reliability Engineering and System Safety, Elsevier, vol. 96(6), pages 687-695.

  44. Cooke, Roger M. & Bosma, Atze & Harte, Frank, 2005. "A practical model of Heineken's bottle filling line with dependent failures," European Journal of Operational Research, Elsevier, vol. 164(2), pages 491-504, July.

    Cited by:

    1. Severino, Gonzalo & Rivera, José & Parot, Roberto & Otaegui, Ernesto & Fuentes, Andrés & Reszka, Pedro, 2024. "Workforce and task optimization to guarantee oxygen bottling under a COVID-19 pandemic scenario: A Chilean case study," International Journal of Production Economics, Elsevier, vol. 271(C).

  45. Motomasa Tanaka & Peter Chien & Nariman Naber & Roger Cooke & Jonathan S. Weissman, 2004. "Conformational variations in an infectious protein determine prion strain differences," Nature, Nature, vol. 428(6980), pages 323-328, March.

    Cited by:

    1. Allen W Bryan Jr. & Matthew Menke & Lenore J Cowen & Susan L Lindquist & Bonnie Berger, 2009. "BETASCAN: Probable β-amyloids Identified by Pairwise Probabilistic Analysis," PLOS Computational Biology, Public Library of Science, vol. 5(3), pages 1-11, March.
    2. Youqi Tao & Yunpeng Sun & Shiran Lv & Wencheng Xia & Kun Zhao & Qianhui Xu & Qinyue Zhao & Lin He & Weidong Le & Yong Wang & Cong Liu & Dan Li, 2022. "Heparin induces α-synuclein to form new fibril polymorphs with attenuated neuropathology," Nature Communications, Nature, vol. 13(1), pages 1-9, December.

  46. Kimberly M. Thompson & R. Frank Rabouw & Roger M. Cooke, 2001. "The Risk of Groundling Fatalities from Unintentional Airplane Crashes," Risk Analysis, John Wiley & Sons, vol. 21(6), pages 1025-1038, December.

    Cited by:

    1. Kimberly M. Thompson, 2002. "Variability and Uncertainty Meet Risk Management and Risk Communication," Risk Analysis, John Wiley & Sons, vol. 22(3), pages 647-654, June.
    2. Carl F. Cranor & Adam M. Finkel, 2018. "Toward the usable recognition of individual benefits and costs in regulatory analysis and governance," Regulation & Governance, John Wiley & Sons, vol. 12(1), pages 131-149, March.

  47. Sarah Rice & Abel W. Lin & Daniel Safer & Cynthia L. Hart & Nariman Naber & Bridget O. Carragher & Shane M. Cain & Elena Pechatnikova & Elizabeth M. Wilson-Kubalek & Michael Whittaker & Edward Pate & , 1999. "A structural change in the kinesin motor protein that drives motility," Nature, Nature, vol. 402(6763), pages 778-784, December.

    Cited by:

    1. Chunting Zhang & Changmiao Guo & Ryan W. Russell & Caitlin M. Quinn & Mingyue Li & John C. Williams & Angela M. Gronenborn & Tatyana Polenova, 2022. "Magic-angle-spinning NMR structure of the kinesin-1 motor domain assembled with microtubules reveals the elusive neck linker orientation," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
    2. Doan Tuong-Van Le & Thomas Eckert & Günther Woehlke, 2013. "Computer Simulation of Assembly and Co-operativity of Hexameric AAA ATPases," PLOS ONE, Public Library of Science, vol. 8(7), pages 1-19, July.
    3. Takema Sasaki & Kei Saito & Daisuke Inoue & Henrik Serk & Yuki Sugiyama & Edouard Pesquet & Yuta Shimamoto & Yoshihisa Oda, 2023. "Confined-microtubule assembly shapes three-dimensional cell wall structures in xylem vessels," Nature Communications, Nature, vol. 14(1), pages 1-14, December.
    4. Ju Zhou & Anhui Wang & Yinlong Song & Nan Liu & Jia Wang & Yan Li & Xin Liang & Guohui Li & Huiying Chu & Hong-Wei Wang, 2023. "Structural insights into the mechanism of GTP initiation of microtubule assembly," Nature Communications, Nature, vol. 14(1), pages 1-17, December.
    5. Mireia Andreu-Carbó & Cornelia Egoldt & Marie-Claire Velluz & Charlotte Aumeier, 2024. "Microtubule damage shapes the acetylation gradient," Nature Communications, Nature, vol. 15(1), pages 1-14, December.
    6. Matthieu P. M. H. Benoit & Lu Rao & Ana B. Asenjo & Arne Gennerich & Hernando Sosa, 2024. "Cryo-EM unveils kinesin KIF1A’s processivity mechanism and the impact of its pathogenic variant P305L," Nature Communications, Nature, vol. 15(1), pages 1-18, December.
    7. Guido Scarabelli & Barry J Grant, 2013. "Mapping the Structural and Dynamical Features of Kinesin Motor Domains," PLOS Computational Biology, Public Library of Science, vol. 9(11), pages 1-13, November.
    8. Tianyang Liu & Fiona Shilliday & Alexander D. Cook & Mohammad Zeeshan & Declan Brady & Rita Tewari & Colin J. Sutherland & Anthony J. Roberts & Carolyn A. Moores, 2022. "Mechanochemical tuning of a kinesin motor essential for malaria parasite transmission," Nature Communications, Nature, vol. 13(1), pages 1-17, December.

  48. Bedford, Tim & Cooke, Roger, 1999. "A new generic model for applying MAUT," European Journal of Operational Research, Elsevier, vol. 118(3), pages 589-604, November.

    Cited by:

    1. Meral Özomay, 2023. "Sustainable and Environmental Dyeing with MAUT Method Comparative Selection of the Dyeing Recipe," Sustainability, MDPI, vol. 15(3), pages 1-14, February.

  49. Roger Cooke & Eric Jager, 1998. "A Probabilistic Model for the Failure Frequency of Underground Gas Pipelines," Risk Analysis, John Wiley & Sons, vol. 18(4), pages 511-527, August.

    Cited by:

    1. Lin, Shi-Woei & Bier, Vicki M., 2008. "A study of expert overconfidence," Reliability Engineering and System Safety, Elsevier, vol. 93(5), pages 711-721.
    2. Hathout, Michel & Vuillet, Marc & Carvajal, Claudio & Peyras, Laurent & Diab, Youssef, 2019. "Expert judgments calibration and combination for assessment of river levee failure probability," Reliability Engineering and System Safety, Elsevier, vol. 188(C), pages 377-392.
    3. Forys, Monika B. & Kurowicka, Dorota & Peppelman, Bas, 2013. "A probabilistic model for a gas explosion due to leakages in the grey cast iron gas mains," Reliability Engineering and System Safety, Elsevier, vol. 119(C), pages 270-279.

  50. L.H.J. Goossens & R.M. Cooke & F Woudenberg & P Van Der Torn, 1998. "Expert judgement and lethal toxicity of inhaled chemicals," Journal of Risk Research, Taylor & Francis Journals, vol. 1(2), pages 117-133, April.

    Cited by:

    1. H. J. Van der Fels‐Klerx & Roger M. Cooke & Maarten N. Nauta & Louis H. Goossens & Arie H. Havelaar, 2005. "A Structured Expert Judgment Study for a Model of Campylobacter Transmission During Broiler‐Chicken Processing," Risk Analysis, John Wiley & Sons, vol. 25(1), pages 109-124, February.
    2. Lin, Shi-Woei & Bier, Vicki M., 2008. "A study of expert overconfidence," Reliability Engineering and System Safety, Elsevier, vol. 93(5), pages 711-721.
    3. Roger M. Cooke & Margaret MacDonell, 2008. "Regulating Under Uncertainty: Newsboy for Exposure Limits," Risk Analysis, John Wiley & Sons, vol. 28(3), pages 577-587, June.
    4. Cooke, Roger M. & Goossens, Louis L.H.J., 2008. "TU Delft expert judgment data base," Reliability Engineering and System Safety, Elsevier, vol. 93(5), pages 657-674.
    5. Ine H. J. Van Der Fels‐Klerx & Louis H. J. Goossens & Helmut W. Saatkamp & Suzan H. S. Horst, 2002. "Elicitation of Quantitative Data from a Heterogeneous Expert Panel: Formal Process and Application in Animal Health," Risk Analysis, John Wiley & Sons, vol. 22(1), pages 67-81, February.

  51. van Noortwijk, Jan M. & Cooke, Roger M. & Kok, Matthijs, 1995. "A Bayesian failure model based on isotropic deterioration," European Journal of Operational Research, Elsevier, vol. 82(2), pages 270-282, April.

    Cited by:

    1. Laura Bojke & Karl Claxton & Stephen Palmer & Mark Sculpher, 2006. "Defining and characterising structural uncertainty in decision analytic models," Working Papers 009cherp, Centre for Health Economics, University of York.
    2. Lu, Biao & Chen, Zhen & Zhao, Xufeng, 2021. "Data-driven dynamic predictive maintenance for a manufacturing system with quality deterioration and online sensors," Reliability Engineering and System Safety, Elsevier, vol. 212(C).
    3. Guo R. & Ascher H. & Love E., 2001. "Towards Practical and Synthetical Modelling of Repairable Systems," Stochastics and Quality Control, De Gruyter, vol. 16(1), pages 147-182, January.
    4. Zhao, Xuejing & Fouladirad, Mitra & Bérenguer, Christophe & Bordes, Laurent, 2010. "Condition-based inspection/replacement policies for non-monotone deteriorating systems with environmental covariates," Reliability Engineering and System Safety, Elsevier, vol. 95(8), pages 921-934.
    5. Ahmed Raza & Vladimir Ulansky, 2019. "Optimal Preventive Maintenance of Wind Turbine Components with Imperfect Continuous Condition Monitoring," Energies, MDPI, vol. 12(19), pages 1-24, October.
    6. Jørgen Vitting Andersen & Roy Cerqueti & Jessica Riccioni, 2023. "Rational expectations as a tool for predicting failure of weighted k-out-of-n reliability systems," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-03634370, HAL.
    7. Flage, Roger & Coit, David W. & Luxhøj, James T. & Aven, Terje, 2012. "Safety constraints applied to an adaptive Bayesian condition-based maintenance optimization model," Reliability Engineering and System Safety, Elsevier, vol. 102(C), pages 16-26.
    8. Kallen, M.J. & van Noortwijk, J.M., 2005. "Optimal maintenance decisions under imperfect inspection," Reliability Engineering and System Safety, Elsevier, vol. 90(2), pages 177-185.
    9. van Noortwijk, J.M., 2009. "A survey of the application of gamma processes in maintenance," Reliability Engineering and System Safety, Elsevier, vol. 94(1), pages 2-21.
    10. Dieulle, L. & Berenguer, C. & Grall, A. & Roussignol, M., 2003. "Sequential condition-based maintenance scheduling for a deteriorating system," European Journal of Operational Research, Elsevier, vol. 150(2), pages 451-461, October.
    11. Jørgen Vitting Andersen & Roy Cerqueti & Jessica Riccioni, 2023. "Rational expectations as a tool for predicting failure of weighted k-out-of-n reliability systems," Post-Print hal-03634370, HAL.
    12. Jørgen Vitting Andersen & Roy Cerqueti & Jessica Riccioni, 2019. "Rational expectations and stochastic systems," Post-Print halshs-01673338, HAL.
    13. Liao, Haitao & Elsayed, Elsayed A. & Chan, Ling-Yau, 2006. "Maintenance of continuously monitored degrading systems," European Journal of Operational Research, Elsevier, vol. 175(2), pages 821-835, December.
    14. Junxiang Li & Jianqiao Chen & Zhiqiang Chen, 2020. "A new cumulative damage model for time-dependent reliability analysis of deteriorating structures," Journal of Risk and Reliability, , vol. 234(2), pages 290-302, April.
    15. van Noortwijk, J.M. & van der Weide, J.A.M. & Kallen, M.J. & Pandey, M.D., 2007. "Gamma processes and peaks-over-threshold distributions for time-dependent reliability," Reliability Engineering and System Safety, Elsevier, vol. 92(12), pages 1651-1658.
    16. Jorgen-Vitting Andersen & Roy Cerqueti & Jessica Riccioni, 2023. "Rational expectations as a tool for predicting failure of weighted k-out-of-n reliability systems," Annals of Operations Research, Springer, vol. 326(1), pages 295-316, July.
    17. Buijs, F.A. & Hall, J.W. & Sayers, P.B. & Van Gelder, P.H.A.J.M., 2009. "Time-dependent reliability analysis of flood defences," Reliability Engineering and System Safety, Elsevier, vol. 94(12), pages 1942-1953.

  52. A. Dawid & M. DeGroot & J. Mortera & R. Cooke & S. French & C. Genest & M. Schervish & D. Lindley & K. McConway & R. Winkler, 1995. "Coherent combination of experts' opinions," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 4(2), pages 263-313, December.

    Cited by:

    1. Julia Mortera & A. Philip Dawid, 2017. "A Note on Prediction Markets," Departmental Working Papers of Economics - University 'Roma Tre' 0215, Department of Economics - University Roma Tre.
    2. A. Philip Dawid & Julia Mortera, 2020. "Resolving some contradictions in the theory of linear opinion pools," Theory and Decision, Springer, vol. 88(3), pages 453-456, April.
    3. R. Winkler & Javier Muñoz & José Cervera & José Bernardo & Gail Blattenberger & Joseph Kadane & Dennis Lindley & Allan Murphy & Robert Oliver & David Ríos-Insua, 1996. "Scoring rules and the evaluation of probabilities," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 5(1), pages 1-60, June.
    4. Petropoulos, Fotios & Apiletti, Daniele & Assimakopoulos, Vassilios & Babai, Mohamed Zied & Barrow, Devon K. & Ben Taieb, Souhaib & Bergmeir, Christoph & Bessa, Ricardo J. & Bijak, Jakub & Boylan, Joh, 2022. "Forecasting: theory and practice," International Journal of Forecasting, Elsevier, vol. 38(3), pages 705-871.
      • Fotios Petropoulos & Daniele Apiletti & Vassilios Assimakopoulos & Mohamed Zied Babai & Devon K. Barrow & Souhaib Ben Taieb & Christoph Bergmeir & Ricardo J. Bessa & Jakub Bijak & John E. Boylan & Jet, 2020. "Forecasting: theory and practice," Papers 2012.03854, arXiv.org, revised Jan 2022.
    5. Itai Arieli & Yakov Babichenko & Fedor Sandomirskiy, 2023. "Feasible Conditional Belief Distributions," Papers 2307.07672, arXiv.org, revised Nov 2024.
    6. Marco Scarsini & Yossi Feinberg, 2003. "Rate of arbitrage and reconciled beliefs," Post-Print hal-00539814, HAL.
    7. Kevin He & Fedor Sandomirskiy & Omer Tamuz, 2022. "Private Private Information," PIER Working Paper Archive 22-004, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    8. Wang, Xiaoqian & Hyndman, Rob J. & Li, Feng & Kang, Yanfei, 2023. "Forecast combinations: An over 50-year review," International Journal of Forecasting, Elsevier, vol. 39(4), pages 1518-1547.
    9. Bolger, Donnacha & Houlding, Brett, 2017. "Deriving the probability of a linear opinion pooling method being superior to a set of alternatives," Reliability Engineering and System Safety, Elsevier, vol. 158(C), pages 41-49.
    10. Federico Bassetti & Roberto Casarin & Francesco Ravazzolo, 2019. "Density Forecasting," BEMPS - Bozen Economics & Management Paper Series BEMPS59, Faculty of Economics and Management at the Free University of Bozen.
    11. Kenichiro McAlinn & Knut Are Aastveit & Jouchi Nakajima & Mike West, 2019. "Multivariate Bayesian Predictive Synthesis in Macroeconomic Forecasting," Working Paper 2019/2, Norges Bank.
    12. Satopää, Ville A., 2021. "Improving the wisdom of crowds with analysis of variance of predictions of related outcomes," International Journal of Forecasting, Elsevier, vol. 37(4), pages 1728-1747.
    13. Richard Bradley, 2018. "Learning from others: conditioning versus averaging," Theory and Decision, Springer, vol. 85(1), pages 5-20, July.
    14. Kenneth C. Lichtendahl, Jr. & Robert L. Winkler, 2007. "Probability Elicitation, Scoring Rules, and Competition Among Forecasters," Management Science, INFORMS, vol. 53(11), pages 1745-1755, November.
    15. Taylor, James W. & Taylor, Kathryn S., 2023. "Combining probabilistic forecasts of COVID-19 mortality in the United States," European Journal of Operational Research, Elsevier, vol. 304(1), pages 25-41.
    16. Roberto Casarin & Giulia Mantoan & Francesco Ravazzolo, 2016. "Bayesian Calibration of Generalized Pools of Predictive Distributions," Econometrics, MDPI, vol. 4(1), pages 1-24, March.
    17. McAlinn, Kenichiro & West, Mike, 2019. "Dynamic Bayesian predictive synthesis in time series forecasting," Journal of Econometrics, Elsevier, vol. 210(1), pages 155-169.
    18. Donnacha Bolger & Brett Houlding, 2016. "Reliability updating in linear opinion pooling for multiple decision makers," Journal of Risk and Reliability, , vol. 230(3), pages 309-322, June.
    19. Ville A. Satopää & Robin Pemantle & Lyle H. Ungar, 2016. "Modeling Probability Forecasts via Information Diversity," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 111(516), pages 1623-1633, October.
    20. Yang, Dazhi & van der Meer, Dennis, 2021. "Post-processing in solar forecasting: Ten overarching thinking tools," Renewable and Sustainable Energy Reviews, Elsevier, vol. 140(C).
    21. Victor Richmond R. Jose & Yael Grushka-Cockayne & Kenneth C. Lichtendahl, 2014. "Trimmed Opinion Pools and the Crowd's Calibration Problem," Management Science, INFORMS, vol. 60(2), pages 463-475, February.
    22. Arieli, Itai & Babichenko, Yakov, 2024. "A population's feasible posterior beliefs," Journal of Economic Theory, Elsevier, vol. 215(C).

  53. Cooke, Roger M., 1993. "The total time on test statistic and age-dependent censoring," Statistics & Probability Letters, Elsevier, vol. 18(4), pages 307-312, November.

    Cited by:

    1. Durante Fabrizio & Puccetti Giovanni & Scherer Matthias & Vanduffel Steven, 2017. "The Vine Philosopher: An interview with Roger Cooke," Dependence Modeling, De Gruyter, vol. 5(1), pages 256-267, December.
    2. Ebrahimi, Nader & Spizzichino, Fabio, 1997. "Some results on normalized total time on test and spacings," Statistics & Probability Letters, Elsevier, vol. 36(3), pages 231-243, December.
    3. T Bedford & B M Alkali, 2009. "Competing risks and opportunistic informative maintenance," Journal of Risk and Reliability, , vol. 223(4), pages 363-372, December.
    4. Nappo, G. & Spizzichino, F., 1998. "Ordering properties of the TTT-plot of lifetimes with Schur joint densities," Statistics & Probability Letters, Elsevier, vol. 39(3), pages 195-203, August.
    5. Beate Sildnes & Bo Henry Lindqvist, 2018. "Modeling of semi-competing risks by means of first passage times of a stochastic process," Lifetime Data Analysis: An International Journal Devoted to Statistical Methods and Applications for Time-to-Event Data, Springer, vol. 24(1), pages 153-175, January.

  54. Bhola, B. & Cooke, R. M. & Blaauw, H. G. & Kok, M., 1992. "Expert opinion in project management," European Journal of Operational Research, Elsevier, vol. 57(1), pages 24-31, February.

    Cited by:

    1. Williams, Terry, 1995. "A classified bibliography of recent research relating to project risk management," European Journal of Operational Research, Elsevier, vol. 85(1), pages 18-38, August.

  55. Lootsma, F. A. & Boonekamp, P. G. M. & Cooke, R. M. & Van Oostvoorn, F., 1990. "Choice of a long-term strategy for the national electricity supply via scenario analysis and multi-criteria analysis," European Journal of Operational Research, Elsevier, vol. 48(2), pages 189-203, September.

    Cited by:

    1. Tim H¨ofer & Rüdiger von Nitzsch & Reinhard Madlener, 2020. "Using Value-Focused Thinking and Multicriteria Decision Making to Evaluate Energy Transition Alternatives," Decision Analysis, INFORMS, vol. 17(4), pages 330-355, December.
    2. Soontornrangson, W. & Evans, D. G. & Fuller, R. J. & Stewart, D. F., 2003. "Scenario planning for electricity supply," Energy Policy, Elsevier, vol. 31(15), pages 1647-1659, December.
    3. Madlener, Reinhard & Stagl, Sigrid, 2005. "Sustainability-guided promotion of renewable electricity generation," Ecological Economics, Elsevier, vol. 53(2), pages 147-167, April.
    4. Kowalski, Katharina & Stagl, Sigrid & Madlener, Reinhard & Omann, Ines, 2009. "Sustainable energy futures: Methodological challenges in combining scenarios and participatory multi-criteria analysis," European Journal of Operational Research, Elsevier, vol. 197(3), pages 1063-1074, September.
    5. Höfer, Tim & von Nitzsch, Rüdiger & Madlener, Reinhard, 2019. "Using Value-Focused Thinking and Multi-Criteria Group Decision-Making to Evaluate Energy Transition Alternatives," FCN Working Papers 4/2019, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).
    6. Wang, Q. & Poh, K.L., 2014. "A survey of integrated decision analysis in energy and environmental modeling," Energy, Elsevier, vol. 77(C), pages 691-702.
    7. Lipovetsky, S. & Lootsma, F. A., 2000. "Generalized golden sections, repeated bisections and aesthetic pleasure," European Journal of Operational Research, Elsevier, vol. 121(1), pages 213-216, February.
    8. Pohekar, S. D. & Ramachandran, M., 2004. "Application of multi-criteria decision making to sustainable energy planning--A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 8(4), pages 365-381, August.
    9. Canetta, Luca & Cheikhrouhou, Naoufel & Glardon, Rémy, 2013. "Modelling hybrid demand (e-commerce “+” traditional) evolution: A scenario planning approach," International Journal of Production Economics, Elsevier, vol. 143(1), pages 95-108.
    10. Zhou, P. & Ang, B.W. & Poh, K.L., 2006. "Decision analysis in energy and environmental modeling: An update," Energy, Elsevier, vol. 31(14), pages 2604-2622.
    11. Løken, Espen, 2007. "Use of multicriteria decision analysis methods for energy planning problems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 11(7), pages 1584-1595, September.
    12. Kayakutlu, Gulgun & Daim, Tugrul & Kunt, Meltem & Altay, Ayca & Suharto, Yulianto, 2017. "Scenarios for regional waste management," Renewable and Sustainable Energy Reviews, Elsevier, vol. 74(C), pages 1323-1335.
    13. X. Liu & K. Wirtz, 2007. "Decision making of oil spill contingency options with fuzzy comprehensive evaluation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 21(4), pages 663-676, April.
    14. Baležentis, Tomas & Streimikiene, Dalia, 2017. "Multi-criteria ranking of energy generation scenarios with Monte Carlo simulation," Applied Energy, Elsevier, vol. 185(P1), pages 862-871.

  56. Roger M. Cooke & Rudi Waij, 1986. "Monte Carlo Sampling for Generalized Knowledge Dependence with Application to Human Reliability," Risk Analysis, John Wiley & Sons, vol. 6(3), pages 335-343, September.

    Cited by:

    1. Samuel Kotz & Johan René van Dorp, 2010. "Generalized Diagonal Band Copulas with Two-Sided Generating Densities," Decision Analysis, INFORMS, vol. 7(2), pages 196-214, June.
    2. Antonio G. Chessa & Rommert Dekker & Bas Van Vliet & Ewout W. Steyerberg & J. Dik F. Habbema, 1999. "Correlations in Uncertainty Analysis for Medical Decision Making," Medical Decision Making, , vol. 19(3), pages 276-286, August.
    3. Andy Lewin & Ekundayo Shittu & Thomas Mazzuchi & Rene Dorp, 2021. "The correlation of cost and schedule variance in satellite programs: level of effort versus discrete cost accounts," Environment Systems and Decisions, Springer, vol. 41(2), pages 248-266, June.
    4. Luis V. Montiel & J. Eric Bickel, 2012. "A Simulation-Based Approach to Decision Making with Partial Information," Decision Analysis, INFORMS, vol. 9(4), pages 329-347, December.

  57. Roger M. Cooke, 1986. "Problems with Empirical Bayes," Risk Analysis, John Wiley & Sons, vol. 6(3), pages 269-272, September.

    Cited by:

    1. Erin Baker & Olaitan Olaleye, 2013. "Combining Experts: Decomposition and Aggregation Order," Risk Analysis, John Wiley & Sons, vol. 33(6), pages 1116-1127, June.
    2. Harry F. Martz, 1986. "Response to “Problems with Empirical Bayes”," Risk Analysis, John Wiley & Sons, vol. 6(3), pages 273-274, September.

Chapters

  1. Deniz Marti & Thomas A. Mazzuchi & Roger M. Cooke, 2021. "Are Performance Weights Beneficial? Investigating the Random Expert Hypothesis," International Series in Operations Research & Management Science, in: Anca M. Hanea & Gabriela F. Nane & Tim Bedford & Simon French (ed.), Expert Judgement in Risk and Decision Analysis, chapter 0, pages 53-82, Springer.

    Cited by:

    1. Gayan Dharmarathne & Gabriela F. Nane & Andrew Robinson & Anca M. Hanea, 2023. "Shrinking the Variance in Experts’ “Classical” Weights Used in Expert Judgment Aggregation," Forecasting, MDPI, vol. 5(3), pages 1-14, August.
    2. Ren, Xin & Nane, Gabriela F. & Terwel, Karel C. & van Gelder, Pieter H.A.J.M., 2024. "Measuring the impacts of human and organizational factors on human errors in the Dutch construction industry using structured expert judgement," Reliability Engineering and System Safety, Elsevier, vol. 244(C).

  2. John Quigley & Abigail Colson & Willy Aspinall & Roger M. Cooke, 2018. "Elicitation in the Classical Model," International Series in Operations Research & Management Science, in: Luis C. Dias & Alec Morton & John Quigley (ed.), Elicitation, chapter 0, pages 15-36, Springer.

    Cited by:

    1. Carless, Travis S. & Redus, Kenneth & Dryden, Rachel, 2021. "Estimating nuclear proliferation and security risks in emerging markets using Bayesian Belief Networks," Energy Policy, Elsevier, vol. 159(C).
    2. Peter Harrison Howard & Derek Sylvan, 2020. "Wisdom of the experts: Using survey responses to address positive and normative uncertainties in climate-economic models," Climatic Change, Springer, vol. 162(2), pages 213-232, September.
    3. Misuri, Alessio & Landucci, Gabriele & Cozzani, Valerio, 2020. "Assessment of safety barrier performance in Natech scenarios," Reliability Engineering and System Safety, Elsevier, vol. 193(C).
    4. Mohammad Yazdi, 2019. "A review paper to examine the validity of Bayesian network to build rational consensus in subjective probabilistic failure analysis," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 10(1), pages 1-18, February.
    5. Elena Verdolini & Laura Díaz Anadón & Erin Baker & Valentina Bosetti & Lara Aleluia Reis, 2018. "Future Prospects for Energy Technologies: Insights from Expert Elicitations," Review of Environmental Economics and Policy, Association of Environmental and Resource Economists, vol. 12(1), pages 133-153.
    6. Hathout, Michel & Vuillet, Marc & Carvajal, Claudio & Peyras, Laurent & Diab, Youssef, 2019. "Expert judgments calibration and combination for assessment of river levee failure probability," Reliability Engineering and System Safety, Elsevier, vol. 188(C), pages 377-392.
    7. Milford, James & Henrion, Max & Hunter, Chad & Newes, Emily & Hughes, Caroline & Baldwin, Samuel F., 2022. "Energy sector portfolio analysis with uncertainty," Applied Energy, Elsevier, vol. 306(PA).
    8. Gayan Dharmarathne & Gabriela F. Nane & Andrew Robinson & Anca M. Hanea, 2023. "Shrinking the Variance in Experts’ “Classical” Weights Used in Expert Judgment Aggregation," Forecasting, MDPI, vol. 5(3), pages 1-14, August.
    9. Schoch-Spana, Monica & Ravi, Sanjana J. & Martin, Elena K., 2022. "Modeling epidemic recovery: An expert elicitation on issues and approaches," Social Science & Medicine, Elsevier, vol. 292(C).
    10. Albara M. Mustafa & Abbas Barabadi & Tore Markeset & Masoud Naseri, 2021. "An overall performance index for wind farms: a case study in Norway Arctic region," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 12(5), pages 938-950, October.
    11. Jeremy Rohmer & Eric Chojnacki, 2021. "Forecast of environment systems using expert judgements: performance comparison between the possibilistic and the classical model," Environment Systems and Decisions, Springer, vol. 41(1), pages 131-146, March.
    12. Katarina Buganova & Maria Luskova & Jozef Kubas & Michal Brutovsky & Jaroslav Slepecky, 2021. "Sustainability of Business through Project Risk Identification with Use of Expert Estimates," Sustainability, MDPI, vol. 13(11), pages 1-17, June.
    13. Ren, Xin & Nane, Gabriela F. & Terwel, Karel C. & van Gelder, Pieter H.A.J.M., 2024. "Measuring the impacts of human and organizational factors on human errors in the Dutch construction industry using structured expert judgement," Reliability Engineering and System Safety, Elsevier, vol. 244(C).
    14. Cooke, Roger M. & Marti, Deniz & Mazzuchi, Thomas, 2021. "Expert forecasting with and without uncertainty quantification and weighting: What do the data say?," International Journal of Forecasting, Elsevier, vol. 37(1), pages 378-387.
    15. Christoph Werner & Tim Bedford & John Quigley, 2018. "Sequential Refined Partitioning for Probabilistic Dependence Assessment," Risk Analysis, John Wiley & Sons, vol. 38(12), pages 2683-2702, December.
    16. Wongnak, Phrutsamon & Bord, Séverine & Donnet, Sophie & Hoch, Thierry & Beugnet, Frederic & Chalvet-Monfray, Karine, 2022. "A hierarchical Bayesian approach for incorporating expert opinions into parametric survival models: A case study of female Ixodes ricinus ticks exposed to various temperature and relative humidity con," Ecological Modelling, Elsevier, vol. 464(C).
    17. Cameron J. Williams & Kevin J. Wilson & Nina Wilson, 2021. "A comparison of prior elicitation aggregation using the classical method and SHELF," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 184(3), pages 920-940, July.

  3. Roger M. Cooke, 2018. "Validation in the Classical Model," International Series in Operations Research & Management Science, in: Luis C. Dias & Alec Morton & John Quigley (ed.), Elicitation, chapter 0, pages 37-59, Springer.

    Cited by:

    1. Claire Copeland & Britta Turner & Gareth Powells & Kevin Wilson, 2022. "In Search of Complementarity: Insights from an Exercise in Quantifying Qualitative Energy Futures," Energies, MDPI, vol. 15(15), pages 1-21, July.
    2. Mohammad Yazdi, 2019. "A review paper to examine the validity of Bayesian network to build rational consensus in subjective probabilistic failure analysis," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 10(1), pages 1-18, February.
    3. Milford, James & Henrion, Max & Hunter, Chad & Newes, Emily & Hughes, Caroline & Baldwin, Samuel F., 2022. "Energy sector portfolio analysis with uncertainty," Applied Energy, Elsevier, vol. 306(PA).

  4. Carolyn Kousky & Roger M. Cooke, 2012. "The Value of Information in a Risk Management Approach to Climate Change," Springer Books, in: Ramanan Laxminarayan & Molly K. Macauley (ed.), The Value of Information, edition 127, chapter 0, pages 19-43, Springer.

    Cited by:

    1. Amelung, Dorothee & Funke, Joachim, 2013. "Dealing with the uncertainties of climate engineering: Warnings from a psychological complex problem solving perspective," Technology in Society, Elsevier, vol. 35(1), pages 32-40.

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