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Stan: A Probabilistic Programming Language

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Cited by:

  1. Damien McParland & Szymon Baron & Sarah O’Rourke & Denis Dowling & Eamonn Ahearne & Andrew Parnell, 2019. "Prediction of tool-wear in turning of medical grade cobalt chromium molybdenum alloy (ASTM F75) using non-parametric Bayesian models," Journal of Intelligent Manufacturing, Springer, vol. 30(3), pages 1259-1270, March.
  2. Antonio A. F. Santos, 2021. "Bayesian Estimation for High-Frequency Volatility Models in a Time Deformed Framework," Computational Economics, Springer;Society for Computational Economics, vol. 57(2), pages 455-479, February.
  3. Peter Tea & Tim B. Swartz, 2023. "The analysis of serve decisions in tennis using Bayesian hierarchical models," Annals of Operations Research, Springer, vol. 325(1), pages 633-648, June.
  4. Wendy Olsen & Manasi Bera & Amaresh Dubey & Jihye Kim & Arkadiusz Wiśniowski & Purva Yadav, 2020. "Hierarchical Modelling of COVID-19 Death Risk in India in the Early Phase of the Pandemic," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 32(5), pages 1476-1503, December.
  5. Marco Gramatica & Peter Congdon & Silvia Liverani, 2021. "Bayesian modelling for spatially misaligned health areal data: A multiple membership approach," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 70(3), pages 645-666, June.
  6. Amanda C. Perofsky & Chelsea L. Hansen & Roy Burstein & Shanda Boyle & Robin Prentice & Cooper Marshall & David Reinhart & Ben Capodanno & Melissa Truong & Kristen Schwabe-Fry & Kayla Kuchta & Brian P, 2024. "Impacts of human mobility on the citywide transmission dynamics of 18 respiratory viruses in pre- and post-COVID-19 pandemic years," Nature Communications, Nature, vol. 15(1), pages 1-17, December.
  7. Olbrich, Lukas & Kosyakova, Yuliya & Sakshaug, Joseph W., 2022. "The reliability of adult self-reported height: The role of interviewers," Economics & Human Biology, Elsevier, vol. 45(C).
  8. Carl P. Schmertmann & Marcos R. Gonzaga, 2018. "Bayesian Estimation of Age-Specific Mortality and Life Expectancy for Small Areas With Defective Vital Records," Demography, Springer;Population Association of America (PAA), vol. 55(4), pages 1363-1388, August.
  9. G. Mateo, Rubén & Aroca-Fernández, María José & Gastón, Aitor & Gómez-Rubio, Virgilio & Saura, Santiago & García-Viñas, Juan Ignacio, 2019. "Looking for an optimal hierarchical approach for ecologically meaningful niche modelling," Ecological Modelling, Elsevier, vol. 409(C), pages 1-1.
  10. Jose Pina-Sánchez & John Paul Gosling, 2020. "Tackling selection bias in sentencing data analysis: a new approach based on a scale of severity," Quality & Quantity: International Journal of Methodology, Springer, vol. 54(3), pages 1047-1073, June.
  11. Ahlan B. Lima & Juarez V. Nascimento & Thiago J. Leonardi & André L. Soares & Roberto R. Paes & Carlos E. Gonçalves & Humberto M. Carvalho, 2020. "Deliberate Practice, Functional Performance and Psychological Characteristics in Young Basketball Players: A Bayesian Multilevel Analysis," IJERPH, MDPI, vol. 17(11), pages 1-14, June.
  12. Patrick Mokre & Miriam Rehm, 2020. "Inter-industry wage inequality: persistent differences and turbulent equalisation," Cambridge Journal of Economics, Cambridge Political Economy Society, vol. 44(4), pages 919-942.
  13. Jessie Yeung & Tim Riffe & Monica Alexander, 2023. "Bayesian implementation of Rogers–Castro model migration schedules: An alternative technique for parameter estimation," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 49(42), pages 1201-1228.
  14. Loke Schmalensee & Pauline Caillault & Katrín Hulda Gunnarsdóttir & Karl Gotthard & Philipp Lehmann, 2023. "Seasonal specialization drives divergent population dynamics in two closely related butterflies," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
  15. Longxiu Tian & Fred M. Feinberg, 2020. "Optimizing Price Menus for Duration Discounts: A Subscription Selectivity Field Experiment," Marketing Science, INFORMS, vol. 39(6), pages 1181-1198, November.
  16. Kuan-Yu Jin & Yi-Jhen Wu & Hui-Fang Chen, 2022. "A New Multiprocess IRT Model With Ideal Points for Likert-Type Items," Journal of Educational and Behavioral Statistics, , vol. 47(3), pages 297-321, June.
  17. Sally Paganin & Christopher J. Paciorek & Claudia Wehrhahn & Abel Rodríguez & Sophia Rabe-Hesketh & Perry de Valpine, 2023. "Computational Strategies and Estimation Performance With Bayesian Semiparametric Item Response Theory Models," Journal of Educational and Behavioral Statistics, , vol. 48(2), pages 147-188, April.
  18. Mathew E. Hauer & Carl P. Schmertmann, 2020. "Population Pyramids Yield Accurate Estimates of Total Fertility Rates," Demography, Springer;Population Association of America (PAA), vol. 57(1), pages 221-241, February.
  19. Lloyd-Smith, Patrick & Adamowicz, Wiktor & Entem, Alicia & Fenichel, Eli P. & Rouhi Rad, Mani, 2021. "The decade after tomorrow: Estimation of discount rates from realistic temporal decisions over long time horizons," Journal of Economic Behavior & Organization, Elsevier, vol. 183(C), pages 158-174.
  20. Keisuke Himoto, 2020. "Hierarchical Bayesian Modeling of Post‐Earthquake Ignition Probabilities Considering Inter‐Earthquake Heterogeneity," Risk Analysis, John Wiley & Sons, vol. 40(6), pages 1124-1138, June.
  21. David Atienza & Pedro Larrañaga & Concha Bielza, 2022. "Hybrid semiparametric Bayesian networks," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 31(2), pages 299-327, June.
  22. Schmertmann, Carl & Hauer, Mathew, 2017. "Bayesian Estimation of Total Fertility from a Population's Age-Sex Distribution," SocArXiv je59v_v1, Center for Open Science.
  23. Cindy Cheng & Joan Barcelo & Allison Spencer Hartnett & Robert Kubinec & Luca Messerschmidt, 2020. "CoronaNet: A Dyadic Dataset of Government Responses to the COVID-19 Pandemic," Working Papers 20200042, New York University Abu Dhabi, Department of Social Science, revised Apr 2020.
  24. Francis,David C. & Kubinec ,Robert, 2022. "Beyond Political Connections : A Measurement Model Approach to Estimating Firm-levelPolitical Influence in 41 Economies," Policy Research Working Paper Series 10119, The World Bank.
  25. Edgar Santos‐Fernandez & Erin E. Peterson & Julie Vercelloni & Em Rushworth & Kerrie Mengersen, 2021. "Correcting misclassification errors in crowdsourced ecological data: A Bayesian perspective," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 70(1), pages 147-173, January.
  26. Evan A. Eskew & Brian H. Bird & Bruno M. Ghersi & James Bangura & Andrew J. Basinski & Emmanuel Amara & Mohamed A. Bah & Marilyn C. Kanu & Osman T. Kanu & Edwin G. Lavalie & Victor Lungay & Willie Rob, 2024. "Reservoir displacement by an invasive rodent reduces Lassa virus zoonotic spillover risk," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
  27. Abdisalam Hassan Muse & Samuel Mwalili & Oscar Ngesa & Christophe Chesneau & Afrah Al-Bossly & Mahmoud El-Morshedy, 2022. "Bayesian and Frequentist Approaches for a Tractable Parametric General Class of Hazard-Based Regression Models: An Application to Oncology Data," Mathematics, MDPI, vol. 10(20), pages 1-41, October.
  28. Martinovici, A., 2019. "Revealing attention - how eye movements predict brand choice and moment of choice," Other publications TiSEM 7dca38a5-9f78-4aee-bd81-c, Tilburg University, School of Economics and Management.
  29. Rico Krueger & Taha H. Rashidi & Akshay Vij, 2020. "X vs. Y: an analysis of intergenerational differences in transport mode use among young adults," Transportation, Springer, vol. 47(5), pages 2203-2231, October.
  30. Saberzadeh, Zahra & Razmkhah, Mostafa & Amini, Mohammad, 2023. "Bayesian reliability analysis of complex k-out-of-n: â„“ systems under degradation performance," Reliability Engineering and System Safety, Elsevier, vol. 231(C).
  31. Swapnil Mishra & James A. Scott & Daniel J. Laydon & Harrison Zhu & Neil M. Ferguson & Samir Bhatt & Seth Flaxman & Axel Gandy, 2022. "A COVID‐19 model for local authorities of the United Kingdom," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(S1), pages 86-95, November.
  32. Lindeløv, Jonas Kristoffer, 2020. "mcp: An R Package for Regression With Multiple Change Points," OSF Preprints fzqxv_v1, Center for Open Science.
  33. Blume, Steffen O.P. & Corman, Francesco & Sansavini, Giovanni, 2022. "Bayesian origin-destination estimation in networked transit systems using nodal in- and outflow counts," Transportation Research Part B: Methodological, Elsevier, vol. 161(C), pages 60-94.
  34. Yongping Bao & Ludwig Danwitz & Fabian Dvorak & Sebastian Fehrler & Lars Hornuf & Hsuan Yu Lin & Bettina von Helversen, 2022. "Similarity and Consistency in Algorithm-Guided Exploration," CESifo Working Paper Series 10188, CESifo.
  35. Aaron Osgood‐Zimmerman & Jon Wakefield, 2023. "A Statistical Review of Template Model Builder: A Flexible Tool for Spatial Modelling," International Statistical Review, International Statistical Institute, vol. 91(2), pages 318-342, August.
  36. Caroline A King & Honora Englander & P Todd Korthuis & Joshua A Barocas & K John McConnell & Cynthia D Morris & Ryan Cook, 2021. "Designing and validating a Markov model for hospital-based addiction consult service impact on 12-month drug and non-drug related mortality," PLOS ONE, Public Library of Science, vol. 16(9), pages 1-14, September.
  37. Vinson Liao & Maximilian Cohen & Yifan Wang & Dionisios G. Vlachos, 2023. "Deducing subnanometer cluster size and shape distributions of heterogeneous supported catalysts," Nature Communications, Nature, vol. 14(1), pages 1-14, December.
  38. Guowen Huang & Patrick E. Brown & Sze Hang Fu & Hwashin Hyun Shin, 2022. "Daily mortality/morbidity and air quality: Using multivariate time series with seasonally varying covariances," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 71(1), pages 148-174, January.
  39. Zhang, Yunchang & Fricker, Jon D., 2021. "Quantifying the impact of COVID-19 on non-motorized transportation: A Bayesian structural time series model," Transport Policy, Elsevier, vol. 103(C), pages 11-20.
  40. Torsten Heinrich & Jangho Yang & Shuanping Dai, 2020. "Growth, development, and structural change at the firm-level: The example of the PR China," Papers 2012.14503, arXiv.org.
  41. repec:cup:judgdm:v:13:y:2018:i:4:p:356-371 is not listed on IDEAS
  42. Esther Ulitzsch & Steffi Pohl & Lale Khorramdel & Ulf Kroehne & Matthias Davier, 2022. "A Response-Time-Based Latent Response Mixture Model for Identifying and Modeling Careless and Insufficient Effort Responding in Survey Data," Psychometrika, Springer;The Psychometric Society, vol. 87(2), pages 593-619, June.
  43. Peter Lunts & Michael S. Albergo & Michael Lindsey, 2023. "Non-Hertz-Millis scaling of the antiferromagnetic quantum critical metal via scalable Hybrid Monte Carlo," Nature Communications, Nature, vol. 14(1), pages 1-15, December.
  44. Nikolas Kuschnig, 2022. "Bayesian spatial econometrics: a software architecture," Journal of Spatial Econometrics, Springer, vol. 3(1), pages 1-25, December.
  45. Auerbach, Jonathan & Wan, Phyllis, 2020. "Forecasting the urban skyline with extreme value theory," International Journal of Forecasting, Elsevier, vol. 36(3), pages 814-828.
  46. Schuwirth, Nele & Borgwardt, Florian & Domisch, Sami & Friedrichs, Martin & Kattwinkel, Mira & Kneis, David & Kuemmerlen, Mathias & Langhans, Simone D. & Martínez-López, Javier & Vermeiren, Peter, 2019. "How to make ecological models useful for environmental management," Ecological Modelling, Elsevier, vol. 411(C).
  47. David L. Miller & Richard Glennie & Andrew E. Seaton, 2020. "Understanding the Stochastic Partial Differential Equation Approach to Smoothing," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 25(1), pages 1-16, March.
  48. Léo Bürgy & Simona Eicke & Christophe Kopp & Camilla Jenny & Kuan Jen Lu & Stephane Escrig & Anders Meibom & Samuel C. Zeeman, 2021. "Coalescence and directed anisotropic growth of starch granule initials in subdomains of Arabidopsis thaliana chloroplasts," Nature Communications, Nature, vol. 12(1), pages 1-10, December.
  49. Yee Whye Teh & Bryn Elesedy & Bobby He & Michael Hutchinson & Sheheryar Zaidi & Avishkar Bhoopchand & Ulrich Paquet & Nenad Tomasev & Jonathan Read & Peter J. Diggle, 2022. "Efficient Bayesian inference of instantaneous reproduction numbers at fine spatial scales, with an application to mapping and nowcasting the Covid‐19 epidemic in British local authorities," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(S1), pages 65-85, November.
  50. Pina-Sánchez Jose & Koskinen Johan & Plewis Ian, 2019. "Adjusting for Measurement Error in Retrospectively Reported Work Histories: An Analysis Using Swedish Register Data," Journal of Official Statistics, Sciendo, vol. 35(1), pages 203-229, March.
  51. van Kesteren Erik-Jan & Bergkamp Tom, 2023. "Bayesian analysis of Formula One race results: disentangling driver skill and constructor advantage," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 19(4), pages 273-293, December.
  52. Elsner, James B. & Schroder, Zoe, 2019. "Tornado damage ratings estimated with cumulative logistic regression," Earth Arxiv k9wv6, Center for Open Science.
  53. Connor Donegan & Yongwan Chun & Daniel A. Griffith, 2021. "Modeling Community Health with Areal Data: Bayesian Inference with Survey Standard Errors and Spatial Structure," IJERPH, MDPI, vol. 18(13), pages 1-27, June.
  54. Linda S. L. Tan, 2021. "Use of model reparametrization to improve variational Bayes," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 83(1), pages 30-57, February.
  55. Barakat, Bilal Fouad & Dharamshi, Ameer & Alkema, Leontine & Antoninis, Manos, 2021. "Adjusted Bayesian Completion Rates (ABC) Estimation," SocArXiv at368, Center for Open Science.
  56. Matthew W. Wheeler & Joost Westerhout & Joe L. Baumert & Benjamin C. Remington, 2021. "Bayesian Stacked Parametric Survival with Frailty Components and Interval‐Censored Failure Times: An Application to Food Allergy Risk," Risk Analysis, John Wiley & Sons, vol. 41(1), pages 56-66, January.
  57. Boonstra, Philip S. & Barbaro, Ryan P. & Sen, Ananda, 2019. "Default priors for the intercept parameter in logistic regressions," Computational Statistics & Data Analysis, Elsevier, vol. 133(C), pages 245-256.
  58. Alexandra M. Schmidt & Marco A. Rodríguez, 2022. "Discussion on “A combined estimate of global temperature”," Environmetrics, John Wiley & Sons, Ltd., vol. 33(3), May.
  59. Pratheepa Jeganathan & Susan P. Holmes, 2021. "A Statistical Perspective on the Challenges in Molecular Microbial Biology," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 26(2), pages 131-160, June.
  60. Hannaford, Naomi E. & Heaps, Sarah E. & Nye, Tom M.W. & Curtis, Thomas P. & Allen, Ben & Golightly, Andrew & Wilkinson, Darren J., 2023. "A sparse Bayesian hierarchical vector autoregressive model for microbial dynamics in a wastewater treatment plant," Computational Statistics & Data Analysis, Elsevier, vol. 179(C).
  61. Abdalla Abdel-Ghaly & Hanan Aly & Elham Abdel-Rahman, 2023. "Bayesian Inference Under Ramp Stress Accelerated Life Testing Using Stan," Sankhya B: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 85(1), pages 132-174, May.
  62. Samuel Brazys & Johan A. Elkink, 2021. "“Aid for Trade” Effectiveness? Micro-level Evidence from Nepal," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 33(6), pages 1493-1513, December.
  63. Alberto Corral-Lopez & Alexander Kotrschal & Alexander Szorkovszky & Maddi Garate-Olaizola & James Herbert-Read & Wouter Bijl & Maksym Romenskyy & Hong-Li Zeng & Severine Denise Buechel & Ada Fontrodo, 2023. "Evolution of schooling drives changes in neuroanatomy and motion characteristics across predation contexts in guppies," Nature Communications, Nature, vol. 14(1), pages 1-15, December.
  64. Burbano, Vanessa & Padilla, Nicolas & Meier, Stephan, 2020. "Gender Differences in Preferences for Meaning at Work," IZA Discussion Papers 13053, Institute of Labor Economics (IZA).
  65. Lukasz Huminiecki, 2018. "Modelling of the breadth of expression from promoter architectures identifies pro-housekeeping transcription factors," PLOS ONE, Public Library of Science, vol. 13(6), pages 1-28, June.
  66. Xin Xu & Yang Lu & Yupeng Zhou & Zhiguo Fu & Yanjie Fu & Minghao Yin, 2021. "An Information-Explainable Random Walk Based Unsupervised Network Representation Learning Framework on Node Classification Tasks," Mathematics, MDPI, vol. 9(15), pages 1-14, July.
  67. Federica Stolf & Antonio Canale, 2023. "A hierarchical Bayesian non‐asymptotic extreme value model for spatial data," Environmetrics, John Wiley & Sons, Ltd., vol. 34(7), November.
  68. Alex Stringer & Patrick Brown & Jamie Stafford, 2021. "Approximate Bayesian inference for case‐crossover models," Biometrics, The International Biometric Society, vol. 77(3), pages 785-795, September.
  69. Ashish Shrestha & Bishal Ghimire & Francisco Gonzalez-Longatt, 2021. "A Bayesian Model to Forecast the Time Series Kinetic Energy Data for a Power System," Energies, MDPI, vol. 14(11), pages 1-15, June.
  70. Bohdan M. Pavlyshenko, 2020. "Regression Approach for Modeling COVID-19 Spread and its Impact On Stock Market," Papers 2004.01489, arXiv.org.
  71. Robert Kubinec & Haillie Na‐Kyung Lee & Andrey Tomashevskiy, 2021. "Politically connected companies are less likely to shutdown due to COVID‐19 restrictions," Social Science Quarterly, Southwestern Social Science Association, vol. 102(5), pages 2155-2169, September.
  72. Magdalena Sycińska-Dziarnowska & Liliana Szyszka-Sommerfeld & Krzysztof Woźniak & Steven J. Lindauer & Gianrico Spagnuolo, 2022. "Predicting Interest in Orthodontic Aligners: A Google Trends Data Analysis," IJERPH, MDPI, vol. 19(5), pages 1-10, March.
  73. Kota Yamada & Atsunori Kanemura, 2020. "Simulating bout-and-pause patterns with reinforcement learning," PLOS ONE, Public Library of Science, vol. 15(11), pages 1-21, November.
  74. Barrington-Leigh, C.P., 2024. "The econometrics of happiness: Are we underestimating the returns to education and income?," Journal of Public Economics, Elsevier, vol. 230(C).
  75. Robin Welsch & Christoph von Castell & Heiko Hecht, 2019. "The anisotropy of personal space," PLOS ONE, Public Library of Science, vol. 14(6), pages 1-13, June.
  76. Jänicke, Clemens & Wesemeyer, Maximilian & Chiarella, Cristina & Lakes, Tobia & Levers, Christian & Meyfroidt, Patrick & Müller, Daniel & Pratzer, Marie & Rufin, Philippe, 2024. "Can we estimate farm size from field size? An empirical investigation of the field size to farm size relationship," Agricultural Systems, Elsevier, vol. 220(C).
  77. Montazeri, Samaneh & Tamaddoni, Ali & Stakhovych, Stanislav & Ewing, Michael, 2021. "Empirical decomposition of customer responses to discount coupons in online FMCG retailing," Journal of Retailing and Consumer Services, Elsevier, vol. 58(C).
  78. Lukas Lundström & Jan Akander & Jesús Zambrano, 2019. "Development of a Space Heating Model Suitable for the Automated Model Generation of Existing Multifamily Buildings—A Case Study in Nordic Climate," Energies, MDPI, vol. 12(3), pages 1-27, February.
  79. Gabel, Sebastian & Guhl, Daniel, 2022. "Comparing the effectiveness of rewards and individually targeted coupons in loyalty programs," Journal of Retailing, Elsevier, vol. 98(3), pages 395-411.
  80. Claus Thorn Ekstrøm & Andreas Kryger Jensen, 2023. "Having a ball: evaluating scoring streaks and game excitement using in-match trend estimation," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 107(1), pages 295-311, March.
  81. Stephen R. Martin & Philippe Rast, 2022. "The Reliability Factor: Modeling Individual Reliability with Multiple Items from a Single Assessment," Psychometrika, Springer;The Psychometric Society, vol. 87(4), pages 1318-1342, December.
  82. Hund, Lauren & Schroeder, Benjamin, 2020. "A causal perspective on reliability assessment," Reliability Engineering and System Safety, Elsevier, vol. 195(C).
  83. Marcus, Justin & Carlson, David & Ergin, Canan & Ceylan, Savas, 2022. "“Generation Me”: An intra-nationally bounded generational explanation for convergence and divergence in personal vs. social focus cultural value orientations," Journal of World Business, Elsevier, vol. 57(2).
  84. Nhan Huynh & Mike Ludkovski, 2021. "Joint Models for Cause-of-Death Mortality in Multiple Populations," Papers 2111.06631, arXiv.org.
  85. Kubinec, Robert, 2020. "Ordered Beta Regression: A Parsimonious, Well-Fitting Model for Survey Sliders and Visual Analog Scales," SocArXiv 2sx6y, Center for Open Science.
  86. Kreuzer, Alexander & Czado, Claudia, 2021. "Bayesian inference for a single factor copula stochastic volatility model using Hamiltonian Monte Carlo," Econometrics and Statistics, Elsevier, vol. 19(C), pages 130-150.
  87. Joe Meagher & Nial Friel, 2022. "Assessing epidemic curves for evidence of superspreading," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(4), pages 2179-2202, October.
  88. Bohan, David & Schmucki, Reto & Abay, Abrha & Termansen, Mette & Bane, Miranda & Charalabiis, Alice & Cong, Rong-Gang & Derocles, Stephane & Dorner, Zita & Forster, Matthieu & Gibert, Caroline & Harro, 2020. "Designing farmer-acceptable rotations that assure ecosystem service provision inthe face of climate change," MPRA Paper 112313, University Library of Munich, Germany.
  89. Barigou, Karim & Goffard, Pierre-Olivier & Loisel, Stéphane & Salhi, Yahia, 2023. "Bayesian model averaging for mortality forecasting using leave-future-out validation," International Journal of Forecasting, Elsevier, vol. 39(2), pages 674-690.
  90. Gabriel Riutort-Mayol & Virgilio Gómez-Rubio & José Luis Lerma & Julio M. del Hoyo-Meléndez, 2020. "Correlated Functional Models with Derivative Information for Modeling Microfading Spectrometry Data on Rock Art Paintings," Mathematics, MDPI, vol. 8(12), pages 1-25, December.
  91. Axel Finke & Ruth King & Alexandros Beskos & Petros Dellaportas, 2019. "Efficient Sequential Monte Carlo Algorithms for Integrated Population Models," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 24(2), pages 204-224, June.
  92. Jinjie Chen & Joon Jin Song & James D. Stamey, 2022. "A Bayesian Hierarchical Spatial Model to Correct for Misreporting in Count Data: Application to State-Level COVID-19 Data in the United States," IJERPH, MDPI, vol. 19(6), pages 1-15, March.
  93. Elina Numminen & Anna-Liisa Laine, 2020. "The spread of a wild plant pathogen is driven by the road network," PLOS Computational Biology, Public Library of Science, vol. 16(3), pages 1-21, March.
  94. Steffen Jahn & Daniel Guhl & Ainslee Erhard, 2024. "Substitution Patterns and Price Response for Plant-Based Meat Alternatives," Rationality and Competition Discussion Paper Series 509, CRC TRR 190 Rationality and Competition.
  95. Mathur, Maya B, 2022. "P-hacking in meta-analyses: A formalization and new meta-analytic methods," OSF Preprints ezjsx_v1, Center for Open Science.
  96. Matthias Trendtel & Alexander Robitzsch, 2021. "A Bayesian Item Response Model for Examining Item Position Effects in Complex Survey Data," Journal of Educational and Behavioral Statistics, , vol. 46(1), pages 34-57, February.
  97. Silvia Montagna & Vanessa Orani & Raffaele Argiento, 2021. "Bayesian isotonic logistic regression via constrained splines: an application to estimating the serve advantage in professional tennis," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 30(2), pages 573-604, June.
  98. Jabed H. Tomal & Hafizur Rahman, 2021. "A Bayesian piecewise linear model for the detection of breakpoints in housing prices," METRON, Springer;Sapienza Università di Roma, vol. 79(3), pages 361-381, December.
  99. Andrew J Tanentzap & Samuel Cottingham & Jérémy Fonvielle & Isobel Riley & Lucy M Walker & Samuel G Woodman & Danai Kontou & Christian M Pichler & Erwin Reisner & Laurent Lebreton, 2021. "Microplastics and anthropogenic fibre concentrations in lakes reflect surrounding land use," PLOS Biology, Public Library of Science, vol. 19(9), pages 1-18, September.
  100. Jack Jewson & Li Li & Laura Battaglia & Stephen Hansen & David Rossell & Piotr Zwiernik, 2022. "Graphical model inference with external network data," CeMMAP working papers 20/22, Institute for Fiscal Studies.
  101. Trung Dung Tran & Emmanuel Lesaffre & Geert Verbeke & Joke Duyck, 2021. "Latent Ornstein‐Uhlenbeck models for Bayesian analysis of multivariate longitudinal categorical responses," Biometrics, The International Biometric Society, vol. 77(2), pages 689-701, June.
  102. Gael M. Martin & David T. Frazier & Christian P. Robert, 2022. "Computing Bayes: From Then `Til Now," Monash Econometrics and Business Statistics Working Papers 14/22, Monash University, Department of Econometrics and Business Statistics.
  103. Ángel Berihuete & Marta Sánchez-Sánchez & Alfonso Suárez-Llorens, 2021. "A Bayesian Model of COVID-19 Cases Based on the Gompertz Curve," Mathematics, MDPI, vol. 9(3), pages 1-16, January.
  104. Kreuzer, Alexander & Dalla Valle, Luciana & Czado, Claudia, 2023. "Bayesian multivariate nonlinear state space copula models," Computational Statistics & Data Analysis, Elsevier, vol. 188(C).
  105. Pol van Rijn & Pauline Larrouy-Maestri, 2023. "Modelling individual and cross-cultural variation in the mapping of emotions to speech prosody," Nature Human Behaviour, Nature, vol. 7(3), pages 386-396, March.
  106. Jair Andrade & Jim Duggan, 2021. "A Bayesian approach to calibrate system dynamics models using Hamiltonian Monte Carlo," System Dynamics Review, System Dynamics Society, vol. 37(4), pages 283-309, October.
  107. Alexandra Jonko & Nathan M. Urban & Balu Nadiga, 2018. "Towards Bayesian hierarchical inference of equilibrium climate sensitivity from a combination of CMIP5 climate models and observational data," Climatic Change, Springer, vol. 149(2), pages 247-260, July.
  108. Xiaoyue Xi & Simon E. F. Spencer & Matthew Hall & M. Kate Grabowski & Joseph Kagaayi & Oliver Ratmann & Rakai Health Sciences Program and PANGEA‐HIV, 2022. "Inferring the sources of HIV infection in Africa from deep‐sequence data with semi‐parametric Bayesian Poisson flow models," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 71(3), pages 517-540, June.
  109. Paul A. Parker & Scott H. Holan, 2023. "A Bayesian functional data model for surveys collected under informative sampling with application to mortality estimation using NHANES," Biometrics, The International Biometric Society, vol. 79(2), pages 1397-1408, June.
  110. Nikolas Kuschnig, 2021. "Bayesian Spatial Econometrics and the Need for Software," Department of Economics Working Papers wuwp318, Vienna University of Economics and Business, Department of Economics.
  111. Albert Tian Chen & Alexander Franks & Nikolai Slavov, 2019. "DART-ID increases single-cell proteome coverage," PLOS Computational Biology, Public Library of Science, vol. 15(7), pages 1-30, July.
  112. Dalton J. Hance & Russell W. Perry & John M. Plumb & Adam C. Pope, 2020. "A temporally stratified extension of space‐for‐time Cormack–Jolly–Seber for migratory animals," Biometrics, The International Biometric Society, vol. 76(3), pages 900-912, September.
  113. Christiaan H. van Dorp & Emma E. Goldberg & Nick Hengartner & Ruian Ke & Ethan O. Romero-Severson, 2021. "Estimating the strength of selection for new SARS-CoV-2 variants," Nature Communications, Nature, vol. 12(1), pages 1-13, December.
  114. Carrone, Andrea Papu & Rich, Jeppe & Watling, David, 2024. "Analysis of car sharing operation area performance: An idle time prediction approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 190(C).
  115. Paul-Christian Bürkner & Jonah Gabry & Aki Vehtari, 2021. "Efficient leave-one-out cross-validation for Bayesian non-factorized normal and Student-t models," Computational Statistics, Springer, vol. 36(2), pages 1243-1261, June.
  116. Nadine Schroeder & Manuela Wuelling & Daniel Hoffmann & Beate Brand-Saberi & Andrea Vortkamp, 2019. "Atoh8 acts as a regulator of chondrocyte proliferation and differentiation in endochondral bones," PLOS ONE, Public Library of Science, vol. 14(8), pages 1-22, August.
  117. Alex Minne & Marc Francke & David Geltner & Robert White, 2020. "Using Revisions as a Measure of Price Index Quality in Repeat-Sales Models," The Journal of Real Estate Finance and Economics, Springer, vol. 60(4), pages 514-553, May.
  118. Filippo Pagani & Martin Wiegand & Saralees Nadarajah, 2022. "An n‐dimensional Rosenbrock distribution for Markov chain Monte Carlo testing," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 49(2), pages 657-680, June.
  119. Robin Welsch & Christoph von Castell & Martin Rettenberger & Daniel Turner & Heiko Hecht & Peter Fromberger, 2020. "Sexual attraction modulates interpersonal distance and approach-avoidance movements towards virtual agents in males," PLOS ONE, Public Library of Science, vol. 15(4), pages 1-18, April.
  120. Brown, Alexander L. & Imai, Taisuke & Vieider, Ferdinand & Camerer, Colin, 2020. "Meta-Analysis of Empirical Estimates of Loss Aversion," MetaArXiv hnefr_v1, Center for Open Science.
  121. Bruno Jacobs & Dennis Fok & Bas Donkers, 2021. "Understanding Large-Scale Dynamic Purchase Behavior," Marketing Science, INFORMS, vol. 40(5), pages 844-870, September.
  122. Per Lunnemann & Mogens H. Jensen & Liselotte Jauffred, 2019. "Gender bias in Nobel prizes," Palgrave Communications, Palgrave Macmillan, vol. 5(1), pages 1-4, December.
  123. Kubinec, Robert & Lee, Haillie Na-Kyung & Tomashevskiy, Andrey, 2020. "How to Get Away with Spreading COVID-19: Political Connections and Pandemic Response," SocArXiv 68fpr_v1, Center for Open Science.
  124. Jared Coopersmith & Thomas D. Cook & Jelena Zurovac & Duncan Chaplin & Lauren V. Forrow, 2022. "Internal And External Validity Of The Comparative Interrupted Time‐Series Design: A Meta‐Analysis," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 41(1), pages 252-277, January.
  125. Ameer Dharamshi & Bilal Barakat & Leontine Alkema & Manos Antoninis, 2022. "A Bayesian model for estimating Sustainable Development Goal indicator 4.1.2: School completion rates," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 71(5), pages 1822-1864, November.
  126. Amir Mukeri & Habibullah Shaikh & D. P. Gaikwad, 2020. "Financial Data Analysis Using Expert Bayesian Framework For Bankruptcy Prediction," Papers 2010.13892, arXiv.org, revised Oct 2020.
  127. Deniz Aksoy & David Carlson, 2022. "Electoral support and militants’ targeting strategies," Journal of Peace Research, Peace Research Institute Oslo, vol. 59(2), pages 229-241, March.
  128. Olivier Binette & Rebecca C. Steorts, 2022. "On the reliability of multiple systems estimation for the quantification of modern slavery," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(2), pages 640-676, April.
  129. Lindeløv, Jonas Kristoffer, 2020. "mcp: An R Package for Regression With Multiple Change Points," OSF Preprints fzqxv, Center for Open Science.
  130. Luo, Nanyu & Ji, Feng & Han, Yuting & He, Jinbo & Zhang, Xiaoya, 2024. "Fitting item response theory models using deep learning computational frameworks," OSF Preprints tjxab, Center for Open Science.
  131. Yasuhiro Kanakogi & Michiko Miyazaki & Hideyuki Takahashi & Hiroki Yamamoto & Tessei Kobayashi & Kazuo Hiraki, 2022. "Third-party punishment by preverbal infants," Nature Human Behaviour, Nature, vol. 6(9), pages 1234-1242, September.
  132. Mohammed H. AbuJarad & Athar Ali Khan & Mundher A. Khaleel & Eman S. A. AbuJarad & Ali H. AbuJarad & Pelumi E. Oguntunde, 2020. "Bayesian Reliability Analysis of Marshall and Olkin Model," Annals of Data Science, Springer, vol. 7(3), pages 461-489, September.
  133. Peter A. Gao & Jonathan Wakefield, 2023. "A Spatial Variance‐Smoothing Area Level Model for Small Area Estimation of Demographic Rates," International Statistical Review, International Statistical Institute, vol. 91(3), pages 493-510, December.
  134. Polychronis Pavlidis & Anastasia Tsakmaki & Eirini Pantazi & Katherine Li & Domenico Cozzetto & Jonathan Digby- Bell & Feifei Yang & Jonathan W. Lo & Elena Alberts & Ana Caroline Costa Sa & Umar Niazi, 2022. "Interleukin-22 regulates neutrophil recruitment in ulcerative colitis and is associated with resistance to ustekinumab therapy," Nature Communications, Nature, vol. 13(1), pages 1-17, December.
  135. Radka Jersakova & James Lomax & James Hetherington & Brieuc Lehmann & George Nicholson & Mark Briers & Chris Holmes, 2022. "Bayesian imputation of COVID‐19 positive test counts for nowcasting under reporting lag," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 71(4), pages 834-860, August.
  136. Lu, Rong, 2020. "Application of machine learning to gas flaring," Thesis Commons g6yvq, Center for Open Science.
  137. M. P. Wand & J. C. F. Yu, 2022. "Density estimation via Bayesian inference engines," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 106(2), pages 199-216, June.
  138. Salvatore Nunnari & Massimiliano Pozzi, 2022. "Meta-Analysis of Inequality Aversion Estimates," CESifo Working Paper Series 9851, CESifo.
  139. Carlotta Montorsi & Chiara Gigliarano, 2024. "Spatial Comprehensive Well-Being Composite Indicators Based on Bayesian Latent Factor Model: Evidence from Italian Provinces," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 175(2), pages 347-383, November.
  140. Susanne Frick, 2022. "Modeling Faking in the Multidimensional Forced-Choice Format: The Faking Mixture Model," Psychometrika, Springer;The Psychometric Society, vol. 87(2), pages 773-794, June.
  141. Xiaoshan Zhou & Pin-Chao Liao, 2023. "EEG-Based Performance-Driven Adaptive Automated Hazard Alerting System in Security Surveillance Support," Sustainability, MDPI, vol. 15(6), pages 1-21, March.
  142. Azzimonti, Laura & Corani, Giorgio & Zaffalon, Marco, 2019. "Hierarchical estimation of parameters in Bayesian networks," Computational Statistics & Data Analysis, Elsevier, vol. 137(C), pages 67-91.
  143. Laura Battaglia & Timothy Christensen & Stephen Hansen & Szymon Sacher, 2024. "Inference for Regression with Variables Generated by AI or Machine Learning," Papers 2402.15585, arXiv.org, revised Dec 2024.
  144. Marina Christofoletti & Tânia R. B. Benedetti & Felipe G. Mendes & Humberto M. Carvalho, 2021. "Using Multilevel Regression and Poststratification to Estimate Physical Activity Levels from Health Surveys," IJERPH, MDPI, vol. 18(14), pages 1-16, July.
  145. Richard Hunt & Shelton Peiris & Neville Weber, 2022. "Estimation methods for stationary Gegenbauer processes," Statistical Papers, Springer, vol. 63(6), pages 1707-1741, December.
  146. Yuanji Wen & Stijn Masschelein & Anmol Ratan, 2022. "Loss aversion in asymmetric anti‐coordination games," Southern Economic Journal, John Wiley & Sons, vol. 88(4), pages 1549-1573, April.
  147. Anne G. Hertel & Jörg Albrecht & Nuria Selva & Agnieszka Sergiel & Keith A. Hobson & David M. Janz & Andreas Mulch & Jonas Kindberg & Jennifer E. Hansen & Shane C. Frank & Andreas Zedrosser & Thomas M, 2024. "Ontogeny shapes individual dietary specialization in female European brown bears (Ursus arctos)," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
  148. Jerzy Baranowski & Katarzyna Grobler-Dębska & Edyta Kucharska, 2021. "Recognizing VSC DC Cable Fault Types Using Bayesian Functional Data Depth," Energies, MDPI, vol. 14(18), pages 1-17, September.
  149. Fang, Guanqi & Pan, Rong & Hong, Yili, 2020. "Copula-based reliability analysis of degrading systems with dependent failures," Reliability Engineering and System Safety, Elsevier, vol. 193(C).
  150. Sun-Joo Cho & Sarah Brown-Schmidt & Paul De Boeck & Jianhong Shen, 2020. "Modeling Intensive Polytomous Time-Series Eye-Tracking Data: A Dynamic Tree-Based Item Response Model," Psychometrika, Springer;The Psychometric Society, vol. 85(1), pages 154-184, March.
  151. Michel Wedel & Chen Dong & Anna Kopyakova, 2024. "Bayesian analysis of experimental and observational data: a review and illustration of the BANOVA R package," Journal of Marketing Analytics, Palgrave Macmillan, vol. 12(3), pages 735-742, September.
  152. Feihong Xia & Rabikar Chatterjee & Jerrold H. May, 2019. "Using Conditional Restricted Boltzmann Machines to Model Complex Consumer Shopping Patterns," Marketing Science, INFORMS, vol. 38(4), pages 711-727, July.
  153. Nils Bertschinger & Iurii Mozzhorin, 2021. "Bayesian estimation and likelihood-based comparison of agent-based volatility models," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 16(1), pages 173-210, January.
  154. Cole C Monnahan & Kasper Kristensen, 2018. "No-U-turn sampling for fast Bayesian inference in ADMB and TMB: Introducing the adnuts and tmbstan R packages," PLOS ONE, Public Library of Science, vol. 13(5), pages 1-10, May.
  155. Richard D Lange & Ankani Chattoraj & Jeffrey M Beck & Jacob L Yates & Ralf M Haefner, 2021. "A confirmation bias in perceptual decision-making due to hierarchical approximate inference," PLOS Computational Biology, Public Library of Science, vol. 17(11), pages 1-30, November.
  156. Maurent, Eliott & Hérault, Bruno & Piponiot, Camille & Derroire, Géraldine & Delgado, Diego & Finegan, Bryan & Kientz, Mélaine Aubry & Amani, Bienvenu H.K. & Bieng, Marie Ange Ngo, 2023. "A common framework to model recovery in disturbed tropical forests," Ecological Modelling, Elsevier, vol. 483(C).
  157. Adrian Rauchfleisch & Mike S Schäfer & Dario Siegen, 2021. "Beyond the ivory tower: Measuring and explaining academic engagement with journalists, politicians and industry representatives among Swiss professorss," PLOS ONE, Public Library of Science, vol. 16(5), pages 1-20, May.
  158. Andreas Kryger Jensen & Claus Thorn Ekstrøm, 2021. "Quantifying the trendiness of trends," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 70(1), pages 98-121, January.
  159. Curtis Atkisson & Monique Borgerhoff Mulder, 2020. "The structure of multiplex networks predicts play in economic games and real-world cooperation," Papers 2012.07669, arXiv.org.
  160. Miikka Voutilainen & Jouni Helske & Harri Högmander, 2020. "A Bayesian Reconstruction of a Historical Population in Finland, 1647–1850," Demography, Springer;Population Association of America (PAA), vol. 57(3), pages 1171-1192, June.
  161. Shuto, Susumu & Amemiya, Takashi, 2022. "Sequential Bayesian inference for Weibull distribution parameters with initial hyperparameter optimization for system reliability estimation," Reliability Engineering and System Safety, Elsevier, vol. 224(C).
  162. Takumi Kato, 2022. "Demand Prediction in the Automobile Industry Independent of Big Data," Annals of Data Science, Springer, vol. 9(2), pages 249-270, April.
  163. Sofia Ruiz-Suarez & Vianey Leos-Barajas & Juan Manuel Morales, 2022. "Hidden Markov and Semi-Markov Models When and Why are These Models Useful for Classifying States in Time Series Data?," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 27(2), pages 339-363, June.
  164. Maximilian Kasy & Alexander Teytelboym, 2023. "Matching with semi-bandits," The Econometrics Journal, Royal Economic Society, vol. 26(1), pages 45-66.
  165. Rafel Cirer-Sastre & Alejandro Legaz-Arrese & Francisco Corbi & Isaac López-Laval & Jose Puente-Lanzarote & Vicenç Hernández-González & Joaquín Reverter-Masià, 2019. "Effect of Training Load on Post-Exercise Cardiac Troponin T Elevations in Young Soccer Players," IJERPH, MDPI, vol. 16(23), pages 1-10, December.
  166. D. Fouskakis & G. Petrakos & I. Rotous, 2020. "A Bayesian longitudinal model for quantifying students’ preferences regarding teaching quality indicators," METRON, Springer;Sapienza Università di Roma, vol. 78(2), pages 255-270, August.
  167. Lauderdale, Benjamin E. & Bailey, Delia & Blumenau, Jack & Rivers, Douglas, 2020. "Model-based pre-election polling for national and sub-national outcomes in the US and UK," International Journal of Forecasting, Elsevier, vol. 36(2), pages 399-413.
  168. Stephen M Kissler & Joseph R Fauver & Christina Mack & Scott W Olesen & Caroline Tai & Kristin Y Shiue & Chaney C Kalinich & Sarah Jednak & Isabel M Ott & Chantal B F Vogels & Jay Wohlgemuth & James W, 2021. "Viral dynamics of acute SARS-CoV-2 infection and applications to diagnostic and public health strategies," PLOS Biology, Public Library of Science, vol. 19(7), pages 1-17, July.
  169. Solène Denolly & Alexey Stukalov & Uladzimir Barayeu & Alina N. Rosinski & Paraskevi Kritsiligkou & Sebastian Joecks & Tobias P. Dick & Andreas Pichlmair & Ralf Bartenschlager, 2023. "Zika virus remodelled ER membranes contain proviral factors involved in redox and methylation pathways," Nature Communications, Nature, vol. 14(1), pages 1-20, December.
  170. Igor Ferreira Batista Martins & Hedibert Freitas Lopes, 2023. "Stochastic volatility models with skewness selection," Papers 2312.00282, arXiv.org.
  171. Roland Langrock & Timo Adam & Vianey Leos‐Barajas & Sina Mews & David L. Miller & Yannis P. Papastamatiou, 2018. "Spline‐based nonparametric inference in general state‐switching models," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 72(3), pages 179-200, August.
  172. Tyler Blazey & Abraham Z Snyder & Manu S Goyal & Andrei G Vlassenko & Marcus E Raichle, 2018. "A systematic meta-analysis of oxygen-to-glucose and oxygen-to-carbohydrate ratios in the resting human brain," PLOS ONE, Public Library of Science, vol. 13(9), pages 1-14, September.
  173. Andrews, Jeffrey & Borgerhoff Mulder, Monique, 2024. "The value of failure: The effect of an expired REDD+ conservation program on residents’ willingness for future participation," Ecological Economics, Elsevier, vol. 220(C).
  174. Brendan A. Bernardo & Bruce P. Lanphear & Scott A. Venners & Tye E. Arbuckle & Joseph M. Braun & Gina Muckle & William D. Fraser & Lawrence C. McCandless, 2019. "Assessing the Relation between Plasma PCB Concentrations and Elevated Autistic Behaviours using Bayesian Predictive Odds Ratios," IJERPH, MDPI, vol. 16(3), pages 1-17, February.
  175. Andrew Gelman & Bob Carpenter, 2020. "Bayesian analysis of tests with unknown specificity and sensitivity," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 69(5), pages 1269-1283, November.
  176. Aldo Gardini & Carlo Trivisano & Enrico Fabrizi, 2021. "Bayesian Analysis of ANOVA and Mixed Models on the Log-Transformed Response Variable," Psychometrika, Springer;The Psychometric Society, vol. 86(2), pages 619-641, June.
  177. Darjus Hosszejni & Gregor Kastner, 2019. "Approaches Toward the Bayesian Estimation of the Stochastic Volatility Model with Leverage," Papers 1901.11491, arXiv.org, revised Nov 2019.
  178. Fabio Vieira & Roger Leenders & Joris Mulder, 2024. "Fast meta-analytic approximations for relational event models: applications to data streams and multilevel data," Journal of Computational Social Science, Springer, vol. 7(2), pages 1823-1859, October.
  179. Szymon Sacher & Laura Battaglia & Stephen Hansen, 2021. "Hamiltonian Monte Carlo for Regression with High-Dimensional Categorical Data," Papers 2107.08112, arXiv.org, revised Feb 2024.
  180. Palmer, Miquel & Moro-Martínez, Irene & Tomàs-Ferrer, Joaquim & Grau, Amalia & López-Belluga, María Dolores & Herlin, Marine & Stavrakidis-Zachou, Orestis & Campos-Candela, Andrea, 2024. "Assessing between-individual variability in bioenergetics modelling: Opportunities, challenges, and potential applications," Ecological Modelling, Elsevier, vol. 498(C).
  181. Sonja Herrmann & Christian Nagel, 2023. "Early Careers of Graduates from Private and Public Universities in Germany: A Comparison of Income Differences Regarding the First Employment," Research in Higher Education, Springer;Association for Institutional Research, vol. 64(1), pages 129-146, February.
  182. Luo, Nanyu & Ji, Feng & Han, Yuting & He, Jinbo & Zhang, Xiaoya, 2024. "Fitting item response theory models using deep learning computational frameworks," OSF Preprints tjxab_v1, Center for Open Science.
  183. Maximilian Kasy & Alexander Teytelboym, 2020. "Adaptive Combinatorial Allocation," Papers 2011.02330, arXiv.org.
  184. Joseph B. Bak-Coleman & Ian Kennedy & Morgan Wack & Andrew Beers & Joseph S. Schafer & Emma S. Spiro & Kate Starbird & Jevin D. West, 2022. "Combining interventions to reduce the spread of viral misinformation," Nature Human Behaviour, Nature, vol. 6(10), pages 1372-1380, October.
  185. Deshpande Sameer K. & Evans Katherine, 2020. "Expected hypothetical completion probability," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 16(2), pages 85-94, June.
  186. Dan Pagendam & Nigel Snoad & Wen-Hsi Yang & Michal Segoli & Scott Ritchie & Brendan Trewin & Nigel Beebe, 2018. "Improving Estimates of Fried’s Index from Mating Competitiveness Experiments," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 23(4), pages 446-462, December.
  187. Heidenreich, Tobias & Eberl, Jakob-Moritz & Tolochko, Petro & Lind, Fabienne & Boomgaarden, Hajo G., 2022. "My Voters Should See This! What News Items Are Shared by Politicians on Facebook?," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, issue OnlineFir, pages 1-1.
  188. Francesco Brizzi & Paul J. Birrell & Martyn T. Plummer & Peter Kirwan & Alison E. Brown & Valerie C. Delpech & O. Noel Gill & Daniela Angelis, 2019. "Extending Bayesian back-calculation to estimate age and time specific HIV incidence," Lifetime Data Analysis: An International Journal Devoted to Statistical Methods and Applications for Time-to-Event Data, Springer, vol. 25(4), pages 757-780, October.
  189. Tiia‐Maria Pasanen & Miikka Voutilainen & Jouni Helske & Harri Högmander, 2022. "A Bayesian spatio‐temporal analysis of markets during the Finnish 1860s famine," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 71(5), pages 1282-1302, November.
  190. José H. Lozano & Javier Revuelta, 2021. "A Bayesian Generalized Explanatory Item Response Model to Account for Learning During the Test," Psychometrika, Springer;The Psychometric Society, vol. 86(4), pages 994-1015, December.
  191. Arianna Dalzero & Bret A. Beheim & Hillard Kaplan & Jonathan Stieglitz & Paul L. Hooper & Cody T. Ross & Michael Gurven & Dieter Lukas, 2024. "Cross-cousin marriage among Tsimane forager–horticulturalists during demographic transition and market integration," Post-Print hal-04524409, HAL.
  192. José Garcia Montalvo & Omiros Papaspiliopoulos & Timothée Stumpf-Fétizon, 2018. "Bayesian forecasting of electoral outcomes with new parties' competition," Economics Working Papers 1624, Department of Economics and Business, Universitat Pompeu Fabra.
  193. Zoi Terzopoulou & Patricia Mirabile & Pien Spekreijse, 2024. "Managing and aggregating group evidence under quality and quantity trade-offs," Rationality and Society, , vol. 36(4), pages 448-479, November.
  194. Alexander, Monica & Root, Leslie, 2020. "Competing effects on the average age of infant death," SocArXiv z4qg9, Center for Open Science.
  195. Uanhoro, James Ohisei, 2020. "Parameterizing structural equation models as Bayesian multilevel regression models: An example with the Global Multidimensional Poverty Index," OSF Preprints yrd34, Center for Open Science.
  196. Yicheng Song & Zhuoxin Li & Nachiketa Sahoo, 2022. "Matching Returning Donors to Projects on Philanthropic Crowdfunding Platforms," Management Science, INFORMS, vol. 68(1), pages 355-375, January.
  197. Xinhua Yu, 2020. "Risk Interactions of Coronavirus Infection across Age Groups after the Peak of COVID-19 Epidemic," IJERPH, MDPI, vol. 17(14), pages 1-14, July.
  198. Patrick Mokre, 2019. "Ausnahmezustand Geringverdienst? Ursachen der Beschäftigungsverhältnisse unter der Steuergrenze," Wirtschaft und Gesellschaft - WuG, Kammer für Arbeiter und Angestellte für Wien, Abteilung Wirtschaftswissenschaft und Statistik, vol. 2019(2), pages 203-227.
  199. Jonas Moss & Riccardo De Bin, 2023. "Modelling publication bias and p‐hacking," Biometrics, The International Biometric Society, vol. 79(1), pages 319-331, March.
  200. Andrew M. Raim & Scott H. Holan & Jonathan R. Bradley & Christopher K. Wikle, 2021. "Spatio-temporal change of support modeling with R," Computational Statistics, Springer, vol. 36(1), pages 749-780, March.
  201. Niloy Biswas & Anirban Bhattacharya & Pierre E. Jacob & James E. Johndrow, 2022. "Coupling‐based convergence assessment of some Gibbs samplers for high‐dimensional Bayesian regression with shrinkage priors," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 84(3), pages 973-996, July.
  202. Marina Riabiz & Wilson Ye Chen & Jon Cockayne & Pawel Swietach & Steven A. Niederer & Lester Mackey & Chris. J. Oates, 2022. "Optimal thinning of MCMC output," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 84(4), pages 1059-1081, September.
  203. Divan A. Burger & Sean van der Merwe & Emmanuel Lesaffre & Peter C. le Roux & Morgan J. Raath‐Krüger, 2023. "A robust mixed‐effects parametric quantile regression model for continuous proportions: Quantifying the constraints to vitality in cushion plants," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 77(4), pages 444-470, November.
  204. Gael M. Martin & David T. Frazier & Christian P. Robert, 2020. "Computing Bayes: Bayesian Computation from 1763 to the 21st Century," Monash Econometrics and Business Statistics Working Papers 14/20, Monash University, Department of Econometrics and Business Statistics.
  205. Gael M. Martin & David T. Frazier & Christian P. Robert, 2021. "Approximating Bayes in the 21st Century," Monash Econometrics and Business Statistics Working Papers 24/21, Monash University, Department of Econometrics and Business Statistics.
  206. Kan Shao & Bruce C. Allen & Matthew W. Wheeler, 2017. "Bayesian Hierarchical Structure for Quantifying Population Variability to Inform Probabilistic Health Risk Assessments," Risk Analysis, John Wiley & Sons, vol. 37(10), pages 1865-1878, October.
  207. David T. Frazier, 2020. "Robust and Efficient Approximate Bayesian Computation: A Minimum Distance Approach," Papers 2006.14126, arXiv.org.
  208. Carolina Bello & Thomas W. Crowther & Danielle Leal Ramos & Teresa Morán-López & Marco A. Pizo & Daisy H. Dent, 2024. "Frugivores enhance potential carbon recovery in fragmented landscapes," Nature Climate Change, Nature, vol. 14(6), pages 636-643, June.
  209. M. Grazia Pittau & Roberto Zelli, 2023. "Anchoring Measurement of the Middle‐Income Class to Subjective Evaluation," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 69(1), pages 60-75, March.
  210. Alexander Sun & Paul A. Parker & Scott H. Holan, 2022. "Analysis of Household Pulse Survey Public-Use Microdata via Unit-Level Models for Informative Sampling," Stats, MDPI, vol. 5(1), pages 1-15, February.
  211. Sarah E. Heaps & Malcolm Farrow & Kevin J. Wilson, 2020. "Identifying the effect of public holidays on daily demand for gas," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 183(2), pages 471-492, February.
  212. Tamara Broderick & Ryan Giordano & Rachael Meager, 2020. "An Automatic Finite-Sample Robustness Metric: When Can Dropping a Little Data Make a Big Difference?," Papers 2011.14999, arXiv.org, revised Jul 2023.
  213. Abdul Karim Obeid & Peter D Bruza & Peter Wittek, 2019. "Evaluating probabilistic programming languages for simulating quantum correlations," PLOS ONE, Public Library of Science, vol. 14(1), pages 1-37, January.
  214. Timothée Stumpf-Fétizon & Omiros Papaspiliopoulos & José García-Montalvo, 2018. "Bayesian Forecasting of Electoral Outcomes with new Parties’ Competition," Working Papers 1065, Barcelona School of Economics.
  215. Magdalena Kogut-Jaworska & Elżbieta Ociepa-Kicińska, 2023. "Practical Implications of Smart Specialization Strategy: Barriers to Implementation, Role of the Public Sector, and Benefits for Entrepreneurs," SAGE Open, , vol. 13(2), pages 21582440231, June.
  216. H. F. Fisher & R. J. Boys & C. S. Gillespie & C. J. Proctor & A. Golightly, 2022. "Parameter inference for a stochastic kinetic model of expanded polyglutamine proteins," Biometrics, The International Biometric Society, vol. 78(3), pages 1195-1208, September.
  217. Tore Selland Kleppe, 2024. "Log‐density gradient covariance and automatic metric tensors for Riemann manifold Monte Carlo methods," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 51(3), pages 1206-1229, September.
  218. David M. Phillippo & Sofia Dias & A. E. Ades & Mark Belger & Alan Brnabic & Alexander Schacht & Daniel Saure & Zbigniew Kadziola & Nicky J. Welton, 2020. "Multilevel network meta‐regression for population‐adjusted treatment comparisons," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 183(3), pages 1189-1210, June.
  219. Sean J. Taylor & Benjamin Letham, 2018. "Forecasting at Scale," The American Statistician, Taylor & Francis Journals, vol. 72(1), pages 37-45, January.
  220. Riko Kelter, 2022. "A New Bayesian Two-Sample t Test and Solution to the Behrens–Fisher Problem Based on Gaussian Mixture Modelling with Known Allocations," Statistics in Biosciences, Springer;International Chinese Statistical Association, vol. 14(3), pages 380-412, December.
  221. Schmertmann, Carl & Gonzaga, Marcos Roberto, 2018. "Bayesian estimation of age-specific mortality and life expectancy for small areas with defective vital records," SocArXiv syzwx_v1, Center for Open Science.
  222. Felipe Tagle & Marc G. Genton & Andrew Yip & Suleiman Mostamandi & Georgiy Stenchikov & Stefano Castruccio, 2020. "Rejoinder to the discussion on A high‐resolution bilevel skew‐t stochastic generator for assessing Saudi Arabia's wind energy resources," Environmetrics, John Wiley & Sons, Ltd., vol. 31(7), November.
  223. Jabed Tomal & Saeed Rahmati & Shirin Boroushaki & Lingling Jin & Ehsan Ahmed, 2021. "The Impact of COVID-19 on Students’ Marks: A Bayesian Hierarchical Modeling Approach," METRON, Springer;Sapienza Università di Roma, vol. 79(1), pages 57-91, April.
  224. Alexandra M. Schmidt, 2022. "Discussion on “Spatial+: a novel approach to spatial confounding” by Emiko Dupont, Simon N. Wood, and Nicole H. Augustin," Biometrics, The International Biometric Society, vol. 78(4), pages 1300-1304, December.
  225. Kenneth F. Kellner & Arielle W. Parsons & Roland Kays & Joshua J. Millspaugh & Christopher T. Rota, 2022. "A Two-Species Occupancy Model with a Continuous-Time Detection Process Reveals Spatial and Temporal Interactions," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 27(2), pages 321-338, June.
  226. Edgar Santos‐Fernandez & Julie Vercelloni & Aiden Price & Grace Heron & Bryce Christensen & Erin E. Peterson & Kerrie Mengersen, 2024. "Increasing Trust in New Data Sources: Crowdsourcing Image Classification for Ecology," International Statistical Review, International Statistical Institute, vol. 92(1), pages 43-61, April.
  227. Kubinec, Robert, 2022. "Ordered Beta Regression: A Parsimonious, Well-Fitting Model for Continuous Data with Lower and Upper Bounds," SocArXiv 2sx6y_v1, Center for Open Science.
  228. Gagnon, Philippe & Hayashi, Yoshiko, 2023. "Theoretical properties of Bayesian Student-t linear regression," Statistics & Probability Letters, Elsevier, vol. 193(C).
  229. Brian D. Williamson & James P. Hughes & Amy D. Willis, 2022. "A multiview model for relative and absolute microbial abundances," Biometrics, The International Biometric Society, vol. 78(3), pages 1181-1194, September.
  230. Matthew Heiner & Taylor Grimm & Hayden Smith & Steven D. Leavitt & William F. Christensen & Gregory T. Carling & Larry L. St. Clair, 2023. "Multivariate receptor modeling with widely dispersed Lichens as bioindicators of air quality," Environmetrics, John Wiley & Sons, Ltd., vol. 34(3), May.
  231. Francesco, Domenic Di & Chryssanthopoulos, Marios & Faber, Michael Havbro & Bharadwaj, Ujjwal, 2020. "Consistent and coherent treatment of uncertainties and dependencies in fatigue crack growth calculations using multi-level Bayesian models," Reliability Engineering and System Safety, Elsevier, vol. 204(C).
  232. Santos-Fernandez, Edgar & Ver Hoef, Jay M. & Peterson, Erin E. & McGree, James & Isaak, Daniel J. & Mengersen, Kerrie, 2022. "Bayesian spatio-temporal models for stream networks," Computational Statistics & Data Analysis, Elsevier, vol. 170(C).
  233. Na Shan & Ping-Feng Xu, 2024. "Bayesian Adaptive Lasso for Detecting Item–Trait Relationship and Differential Item Functioning in Multidimensional Item Response Theory Models," Psychometrika, Springer;The Psychometric Society, vol. 89(4), pages 1337-1365, December.
  234. Dominik Deffner & David Mezey & Benjamin Kahl & Alexander Schakowski & Pawel Romanczuk & Charley M. Wu & Ralf H. J. M. Kurvers, 2024. "Collective incentives reduce over-exploitation of social information in unconstrained human groups," Nature Communications, Nature, vol. 15(1), pages 1-13, December.
  235. Ian Lundberg & Louis Donnelly, 2019. "A Research Note on the Prevalence of Housing Eviction Among Children Born in U.S. Cities," Demography, Springer;Population Association of America (PAA), vol. 56(1), pages 391-404, February.
  236. Sabin R. Paul, 2021. "Estimating player value in American football using plus–minus models," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 17(4), pages 313-364, December.
  237. Lukas Lundström & Jan Akander, 2019. "Bayesian Calibration with Augmented Stochastic State-Space Models of District-Heated Multifamily Buildings," Energies, MDPI, vol. 13(1), pages 1-28, December.
  238. Tore S. Kleppe & Atle Oglend, 2019. "Can limits‐to‐arbitrage from bounded storage improve commodity term‐structure modeling?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 39(7), pages 865-889, July.
  239. Brook T. Russell & Whitney K. Huang, 2021. "Modeling short‐ranged dependence in block extrema with application to polar temperature data," Environmetrics, John Wiley & Sons, Ltd., vol. 32(3), May.
  240. Lilia Tightiz & Joon Yoo, 2022. "A Review on a Data-Driven Microgrid Management System Integrating an Active Distribution Network: Challenges, Issues, and New Trends," Energies, MDPI, vol. 15(22), pages 1-24, November.
  241. Bansal, Prateek & Krueger, Rico & Bierlaire, Michel & Daziano, Ricardo A. & Rashidi, Taha H., 2020. "Bayesian estimation of mixed multinomial logit models: Advances and simulation-based evaluations," Transportation Research Part B: Methodological, Elsevier, vol. 131(C), pages 124-142.
  242. White, Philip A. & Gelfand, Alan E. & Frye, Henry & Silander, John A., 2024. "Good modelling practice in ecology, the hierarchical Bayesian perspective," Ecological Modelling, Elsevier, vol. 496(C).
  243. Blair-Hamilton, Alexis & Raphael, Dennis, 2023. "A critical analysis of the Finnish Baby Box’s journey into the liberal welfare state: Implications for progressive public policymaking," Children and Youth Services Review, Elsevier, vol. 149(C).
  244. Rena Emond & Jason I. Griffiths & Vince Kornél Grolmusz & Aritro Nath & Jinfeng Chen & Eric F. Medina & Rachel S. Sousa & Timothy Synold & Frederick R. Adler & Andrea H. Bild, 2023. "Cell facilitation promotes growth and survival under drug pressure in breast cancer," Nature Communications, Nature, vol. 14(1), pages 1-17, December.
  245. Caradima, Bogdan & Scheidegger, Andreas & Brodersen, Jakob & Schuwirth, Nele, 2021. "Bridging mechanistic conceptual models and statistical species distribution models of riverine fish," Ecological Modelling, Elsevier, vol. 457(C).
  246. Louis Charlot, 2021. "Bayesian hierarchical analysis of a multifaceted program against extreme poverty," Papers 2109.06759, arXiv.org.
  247. Matthias Breuer & Harm H. Schütt, 2023. "Accounting for uncertainty: an application of Bayesian methods to accruals models," Review of Accounting Studies, Springer, vol. 28(2), pages 726-768, June.
  248. Nohe, Christoph & Hüffmeier, Joachim & Bürkner, Paul & Mazei, Jens & Sondern, Dominik & Runte, Antonia & Sieber, Franziska & Hertel, Guido, 2022. "Unethical choice in negotiations: A meta-analysis on gender differences and their moderators," Organizational Behavior and Human Decision Processes, Elsevier, vol. 173(C).
  249. Jesus Cerquides & Mehmet Oğuz Mülâyim & Jerónimo Hernández-González & Amudha Ravi Shankar & Jose Luis Fernandez-Marquez, 2021. "A Conceptual Probabilistic Framework for Annotation Aggregation of Citizen Science Data," Mathematics, MDPI, vol. 9(8), pages 1-15, April.
  250. Daniel W. Heck & Isabel Thielmann & Morten Moshagen & Benjamin E. Hilbig, 2018. "Who lies? A large-scale reanalysis linking basic personality traits to unethical decision making," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 13(4), pages 356-371, July.
  251. Zaid Tashman & Christoph Gorder & Sonali Parthasarathy & Mohamad M. Nasr-Azadani & Rachel Webre, 2020. "Anomaly Detection System for Water Networks in Northern Ethiopia Using Bayesian Inference," Sustainability, MDPI, vol. 12(7), pages 1-16, April.
  252. Roelant Eijgelaar & Philip C De Witt Hamer & Carel F W Peeters & Frederik Barkhof & Marcel van Herk & Marnix G Witte, 2019. "Voxelwise statistical methods to localize practice variation in brain tumor surgery," PLOS ONE, Public Library of Science, vol. 14(9), pages 1-12, September.
  253. Bojana Većkalov & Sandra J. Geiger & František Bartoš & Mathew P. White & Bastiaan T. Rutjens & Frenk Harreveld & Federica Stablum & Berkan Akın & Alaa Aldoh & Jinhao Bai & Frida Berglund & Aleša Brat, 2024. "A 27-country test of communicating the scientific consensus on climate change," Nature Human Behaviour, Nature, vol. 8(10), pages 1892-1905, October.
  254. Joshua P White & Simon Dennis & Martin Tomko & Jessica Bell & Stephan Winter, 2021. "Paths to social licence for tracking-data analytics in university research and services," PLOS ONE, Public Library of Science, vol. 16(5), pages 1-19, May.
  255. Marko Kovic & Nina Hänsli, 2017. "The Impact of Political Cleavages, Religiosity, and Values on Attitudes towards Nonprofit Organizations," Social Sciences, MDPI, vol. 7(1), pages 1-18, December.
  256. Phillip Cassey & Steven Delean & Julie L Lockwood & Jason S Sadowski & Tim M Blackburn, 2018. "Dissecting the null model for biological invasions: A meta-analysis of the propagule pressure effect," PLOS Biology, Public Library of Science, vol. 16(4), pages 1-15, April.
  257. Ma, Donglian & Tanizaki, Hisashi, 2019. "The day-of-the-week effect on Bitcoin return and volatility," Research in International Business and Finance, Elsevier, vol. 49(C), pages 127-136.
  258. Owen G. Ward & Jing Wu & Tian Zheng & Anna L. Smith & James P. Curley, 2022. "Network Hawkes process models for exploring latent hierarchy in social animal interactions," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 71(5), pages 1402-1426, November.
  259. Wojciech Potrzebowski & Jill Trewhella & Ingemar Andre, 2018. "Bayesian inference of protein conformational ensembles from limited structural data," PLOS Computational Biology, Public Library of Science, vol. 14(12), pages 1-27, December.
  260. Jouni Helske & Santtu Tikka & Juha Karvanen, 2021. "Estimation of causal effects with small data in the presence of trapdoor variables," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 184(3), pages 1030-1051, July.
  261. Posch, Konstantin & Truden, Christian & Hungerländer, Philipp & Pilz, Jürgen, 2022. "A Bayesian approach for predicting food and beverage sales in staff canteens and restaurants," International Journal of Forecasting, Elsevier, vol. 38(1), pages 321-338.
  262. Fergus J. Chadwick & Jessica Clark & Shayan Chowdhury & Tasnuva Chowdhury & David J. Pascall & Yacob Haddou & Joanna Andrecka & Mikolaj Kundegorski & Craig Wilkie & Eric Brum & Tahmina Shirin & A. S. , 2022. "Combining rapid antigen testing and syndromic surveillance improves community-based COVID-19 detection in a low-income country," Nature Communications, Nature, vol. 13(1), pages 1-9, December.
  263. Liu, Jiapeng & Wang, Yan & Kadziński, Miłosz & Mao, Xiaoxin & Rao, Yuan, 2024. "A multiple criteria Bayesian hierarchical model for analyzing heterogeneous consumer preferences," Omega, Elsevier, vol. 128(C).
  264. Philip Greengard & Andrew Gelman & Aki Vehtari, 2022. "A fast regression via SVD and marginalization," Computational Statistics, Springer, vol. 37(2), pages 701-720, April.
  265. Esther Ulitzsch & Steffi Pohl & Lale Khorramdel & Ulf Kroehne & Matthias von Davier, 2024. "Using Response Times for Joint Modeling of Careless Responding and Attentive Response Styles," Journal of Educational and Behavioral Statistics, , vol. 49(2), pages 173-206, April.
  266. Yikuan Chen & B. Wade Brorsen & Jon T. Biermacher & Mykel Taylor, 2022. "Spatially varying wheat protein premiums," Letters in Spatial and Resource Sciences, Springer, vol. 15(3), pages 587-598, December.
  267. Connor M. French & Laura D. Bertola & Ana C. Carnaval & Evan P. Economo & Jamie M. Kass & David J. Lohman & Katharine A. Marske & Rudolf Meier & Isaac Overcast & Andrew J. Rominger & Phillip P. A. Sta, 2023. "Global determinants of insect mitochondrial genetic diversity," Nature Communications, Nature, vol. 14(1), pages 1-15, December.
  268. Aldo Gardini & Enrico Fabrizi & Carlo Trivisano, 2022. "Poverty and inequality mapping based on a unit‐level log‐normal mixture model," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(4), pages 2073-2096, October.
  269. Rajbir-Singh Nirwan & Nils Bertschinger, 2018. "Applications of Gaussian Process Latent Variable Models in Finance," Papers 1806.03294, arXiv.org, revised Apr 2019.
  270. Uanhoro, James Ohisei, 2020. "Parameterizing structural equation models as Bayesian multilevel regression models: An example with the Global Multidimensional Poverty Index," OSF Preprints yrd34_v1, Center for Open Science.
  271. Elisa Panzera & Thomas de Graaff & Henri L.F. de Groot, 2021. "European cultural heritage and tourism flows: The magnetic role of superstar World Heritage Sites," Papers in Regional Science, Wiley Blackwell, vol. 100(1), pages 101-122, February.
  272. Tourani-Farani, Fahimeh & Kazemi, Iraj, 2022. "Transformed mixed-effects modeling of correlated bounded and positive data with a novel multivariate generalized Johnson distribution," Journal of Multivariate Analysis, Elsevier, vol. 190(C).
  273. Eunho Suh & Isaac J. Stopard & Ben Lambert & Jessica L. Waite & Nina L. Dennington & Thomas S. Churcher & Matthew B. Thomas, 2024. "Estimating the effects of temperature on transmission of the human malaria parasite, Plasmodium falciparum," Nature Communications, Nature, vol. 15(1), pages 1-14, December.
  274. Kim C. Raath & Katherine B. Ensor, 2023. "Wavelet-L2E Stochastic Volatility Models: an Application to the Water-Energy Nexus," Sankhya B: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 85(1), pages 150-176, May.
  275. Liu, Qingyang & Huang, Xianzheng & Bai, Ray, 2024. "Bayesian modal regression based on mixture distributions," Computational Statistics & Data Analysis, Elsevier, vol. 199(C).
  276. Keigo Inukai & Yuta Shimodaira & Kohei Shiozawa, 2022. "Revisiting CES utility functions for distributional preferences: Do people face the equality–efficiency trade-off?," ISER Discussion Paper 1195r, Institute of Social and Economic Research, Osaka University, revised Sep 2024.
  277. Veronika Fenyves & Zoltán Bács & Laura Karnai & Adrián Nagy & Tibor Tarnóczi, 2018. "Financial Performance Measurement of Hungarian Retail Food Companies," Contemporary Economics, University of Economics and Human Sciences in Warsaw., vol. 12(4), December.
  278. Friederike L. Pennemann & Assel Mussabekova & Christian Urban & Alexey Stukalov & Line Lykke Andersen & Vincent Grass & Teresa Maria Lavacca & Cathleen Holze & Lila Oubraham & Yasmine Benamrouche & En, 2021. "Cross-species analysis of viral nucleic acid interacting proteins identifies TAOKs as innate immune regulators," Nature Communications, Nature, vol. 12(1), pages 1-22, December.
  279. Vanslette Kevin & Al Alsheikh Abdullatif & Youcef-Toumi Kamal, 2020. "Why simple quadrature is just as good as Monte Carlo," Monte Carlo Methods and Applications, De Gruyter, vol. 26(1), pages 1-16, March.
  280. Montalvo, José G. & Papaspiliopoulos, Omiros & Stumpf-Fétizon, Timothée, 2019. "Bayesian forecasting of electoral outcomes with new parties’ competition," European Journal of Political Economy, Elsevier, vol. 59(C), pages 52-70.
  281. Benoit, Dries F. & Tsang, Wai Kit & Coussement, Kristof & Raes, Annelies, 2024. "High-stake student drop-out prediction using hidden Markov models in fully asynchronous subscription-based MOOCs," Technological Forecasting and Social Change, Elsevier, vol. 198(C).
  282. Tanja Laukkala & Tom Rosenström & Anu Kantele, 2022. "A Two-Week Vacation in the Tropics and Psychological Well-Being—An Observational Follow-Up Study," IJERPH, MDPI, vol. 19(16), pages 1-9, August.
  283. Cindy Cheng & Joan Barceló & Allison Spencer Hartnett & Robert Kubinec & Luca Messerschmidt, 2020. "COVID-19 Government Response Event Dataset (CoronaNet v.1.0)," Nature Human Behaviour, Nature, vol. 4(7), pages 756-768, July.
  284. Anindya Bhadra & Jyotishka Datta & Yunfan Li & Nicholas Polson, 2020. "Horseshoe Regularisation for Machine Learning in Complex and Deep Models," International Statistical Review, International Statistical Institute, vol. 88(2), pages 302-320, August.
  285. Donegan, Connor & Chun, Yongwan & Hughes, Amy E., 2020. "Bayesian estimation of spatial filters with Moran's eigenvectors and hierarchical shrinkage priors," OSF Preprints fah3z_v1, Center for Open Science.
  286. Kazuhiro Yamaguchi & Jonathan Templin, 2022. "A Gibbs Sampling Algorithm with Monotonicity Constraints for Diagnostic Classification Models," Journal of Classification, Springer;The Classification Society, vol. 39(1), pages 24-54, March.
  287. Kubinec, Robert & Lee, Haillie Na-Kyung & Tomashevskiy, Andrey, 2020. "How to Get Away with Spreading COVID-19: Political Connections and Pandemic Response," SocArXiv 68fpr, Center for Open Science.
  288. James Bland & Yaroslav Rosokha, 2024. "Rounding the (Non)Bayesian Curve: Unraveling the Effects of Rounding Errors in Belief Updating," Purdue University Economics Working Papers 1353, Purdue University, Department of Economics.
  289. Nguyen, Minh-Hoang, 2021. "Bayesian analysis in social sciences," OSF Preprints zwdg2, Center for Open Science.
  290. Kubinec, Robert & Barceló, Joan & Goldszmidt, Rafael & Grujic, Vanja & Model, Timothy & Schenk, Caress & Cheng, Cindy & Hale, Thomas & Hartnett, Allison Spencer & Messerschmidt, Luca, 2021. "Statistically Validated Indices for COVID-19 Public Health Policies," SocArXiv rn9xk, Center for Open Science.
  291. Alina Ferecatu & Arnaud Bruyn & Prithwiraj Mukherjee, 2024. "Silently killing your panelists one email at a time: The true cost of email solicitations," Journal of the Academy of Marketing Science, Springer, vol. 52(4), pages 1216-1239, July.
  292. Ryan Dew & Asim Ansari, 2018. "Bayesian Nonparametric Customer Base Analysis with Model-Based Visualizations," Marketing Science, INFORMS, vol. 37(2), pages 216-235, March.
  293. Lu, Rong, 2020. "Application of machine learning to gas flaring," Thesis Commons g6yvq_v1, Center for Open Science.
  294. David A. Buch & James E. Johndrow & David B. Dunson, 2023. "Explaining transmission rate variations and forecasting epidemic spread in multiple regions with a semiparametric mixed effects SIR model," Biometrics, The International Biometric Society, vol. 79(4), pages 2987-2997, December.
  295. Dellaportas, Petros & Titsias, Michalis K. & Petrova, Katerina & Plataniotis, Anastasios, 2023. "Scalable inference for a full multivariate stochastic volatility model," Journal of Econometrics, Elsevier, vol. 232(2), pages 501-520.
  296. Heidenreich, Tobias & Eberl, Jakob-Moritz & Lind, Fabienne & Boomgaarden, Hajo G., 2022. "Discontentment trumps Euphoria: Interacting with European Politicians’ migration-related messages on social media," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, issue OnlineFir, pages 1-1.
  297. Stokes Tyrel & Bagga Gurashish & Kroetch Kimberly & Kumagai Brendan & Welsh Liam, 2024. "A generative approach to frame-level multi-competitor races," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 20(4), pages 365-383.
  298. Frederik Banis & Henrik Madsen & Niels K. Poulsen & Daniela Guericke, 2020. "Prosumer Response Estimation Using SINDyc in Conjunction with Markov-Chain Monte-Carlo Sampling," Energies, MDPI, vol. 13(12), pages 1-16, June.
  299. Arifatus Solikhah & Heri Kuswanto & Nur Iriawan & Kartika Fithriasari, 2021. "Fisher’s z Distribution-Based Mixture Autoregressive Model," Econometrics, MDPI, vol. 9(3), pages 1-35, June.
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