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Metrics for evaluating performance and uncertainty of Bayesian network models

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Cited by:

  1. Alessandro Pagano & Irene Pluchinotta & Raffaele Giordano & Anna Bruna Petrangeli & Umberto Fratino & Michele Vurro, 2018. "Dealing with Uncertainty in Decision-Making for Drinking Water Supply Systems Exposed to Extreme Events," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(6), pages 2131-2145, April.
  2. Anna Sperotto & Josè Luis Molina & Silvia Torresan & Andrea Critto & Manuel Pulido-Velazquez & Antonio Marcomini, 2019. "Water Quality Sustainability Evaluation under Uncertainty: A Multi-Scenario Analysis Based on Bayesian Networks," Sustainability, MDPI, vol. 11(17), pages 1-34, August.
  3. Meagan J. Harris & Jonah Stinson & Wayne G. Landis, 2017. "A Bayesian Approach to Integrated Ecological and Human Health Risk Assessment for the South River, Virginia Mercury‐Contaminated Site," Risk Analysis, John Wiley & Sons, vol. 37(7), pages 1341-1357, July.
  4. Alessandro Pagano & Raffaele Giordano & Ivan Portoghese & Umberto Fratino & Michele Vurro, 2014. "A Bayesian vulnerability assessment tool for drinking water mains under extreme events," 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(3), pages 2193-2227, December.
  5. Henry Musoke Semakula & Guobao Song & Simon Peter Achuu & Miaogen Shen & Jingwen Chen & Paul Isolo Mukwaya & Martin Oulu & Patrick Mwanzia Mwendwa & Jannette Abalo & Shushen Zhang, 2017. "Prediction of future malaria hotspots under climate change in sub-Saharan Africa," Climatic Change, Springer, vol. 143(3), pages 415-428, August.
  6. Moe, S. Jannicke & Haande, Sigrid & Couture, Raoul-Marie, 2016. "Climate change, cyanobacteria blooms and ecological status of lakes: A Bayesian network approach," Ecological Modelling, Elsevier, vol. 337(C), pages 330-347.
  7. Ropero, R.F. & Aguilera, P.A. & Rumí, R., 2015. "Analysis of the socioecological structure and dynamics of the territory using a hybrid Bayesian network classifier," Ecological Modelling, Elsevier, vol. 311(C), pages 73-87.
  8. Bruce G. Marcot & Anca M. Hanea, 2021. "What is an optimal value of k in k-fold cross-validation in discrete Bayesian network analysis?," Computational Statistics, Springer, vol. 36(3), pages 2009-2031, September.
  9. Guo, Kai & Zhang, Xinchang & Kuai, Xi & Wu, Zhifeng & Chen, Yiyun & Liu, Yi, 2020. "A spatial bayesian-network approach as a decision-making tool for ecological-risk prevention in land ecosystems," Ecological Modelling, Elsevier, vol. 419(C).
  10. McLaughlin, Douglas B. & Reckhow, Kenneth H., 2017. "A Bayesian network assessment of macroinvertebrate responses to nutrients and other factors in streams of the Eastern Corn Belt Plains, Ohio, USA," Ecological Modelling, Elsevier, vol. 345(C), pages 21-29.
  11. Le, Hai Dinh & Smith, Carl & Herbohn, John, 2015. "Identifying interactions among reforestation success drivers: A case study from the Philippines," Ecological Modelling, Elsevier, vol. 316(C), pages 62-77.
  12. Kimberley Kolb Ayre & Colleen A. Caldwell & Jonah Stinson & Wayne G. Landis, 2014. "Analysis of Regional Scale Risk of Whirling Disease in Populations of Colorado and Rio Grande Cutthroat Trout Using a Bayesian Belief Network Model," Risk Analysis, John Wiley & Sons, vol. 34(9), pages 1589-1605, September.
  13. Giordano, Raffaele & D’Agostino, Daniela & Apollonio, Ciro & Scardigno, Alessandra & Pagano, Alessandro & Portoghese, Ivan & Lamaddalena, Nicola & Piccinni, Alberto F. & Vurro, Michele, 2015. "Evaluating acceptability of groundwater protection measures under different agricultural policies," Agricultural Water Management, Elsevier, vol. 147(C), pages 54-66.
  14. Lim, R.B.H. & Liew, J.H. & Kwik, J.T.B. & Yeo, D.C.J., 2018. "Predicting food web responses to biomanipulation using Bayesian Belief Network: Assessment of accuracy and applicability using in-situ exclosure experiments," Ecological Modelling, Elsevier, vol. 384(C), pages 308-315.
  15. Thomas Dufhues & Gertrud Buchenrieder & Zhanli Sun, 2021. "Exploring Policy Options in Regulating Rural–Urban Migration with a Bayesian Network: A Case Study in Kazakhstan," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 33(3), pages 553-577, June.
  16. Leonel Lara-Estrada & Livia Rasche & L. Enrique Sucar & Uwe A. Schneider, 2018. "Inferring Missing Climate Data for Agricultural Planning Using Bayesian Networks," Land, MDPI, vol. 7(1), pages 1-13, January.
  17. Kattreeya Chanpariyavatevong & Warit Wipulanusat & Thanapong Champahom & Sajjakaj Jomnonkwao & Dissakoon Chonsalasin & Vatanavongs Ratanavaraha, 2021. "Predicting Airline Customer Loyalty by Integrating Structural Equation Modeling and Bayesian Networks," Sustainability, MDPI, vol. 13(13), pages 1-21, June.
  18. Abeygunawardane, Dilini & Kronenburg García, Angela & Sun, Zhanli & Müller, Daniel & Sitoe, Almeida & Meyfroidt, Patrick, 2022. "Resource frontiers and agglomeration economies: The varied logics of transnational land-based investing in Southern and Eastern Africa," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 51(6), pages 1535-1551.
  19. Enrico Celio & Adrienne Grêt-Regamey, 2016. "Understanding farmers' influence on land-use change using a participatory Bayesian network approach in a pre-Alpine region in Switzerland," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 59(11), pages 2079-2101, November.
  20. Forio, Marie Anne Eurie & Landuyt, Dries & Bennetsen, Elina & Lock, Koen & Nguyen, Thi Hanh Tien & Ambarita, Minar Naomi Damanik & Musonge, Peace Liz Sasha & Boets, Pieter & Everaert, Gert & Dominguez, 2015. "Bayesian belief network models to analyse and predict ecological water quality in rivers," Ecological Modelling, Elsevier, vol. 312(C), pages 222-238.
  21. Pham, Hung Vuong & Sperotto, Anna & Furlan, Elisa & Torresan, Silvia & Marcomini, Antonio & Critto, Andrea, 2021. "Integrating Bayesian Networks into ecosystem services assessment to support water management at the river basin scale," Ecosystem Services, Elsevier, vol. 50(C).
  22. O'Brien, G. C. & Dickens, Chris & Hines, E. & Wepener, V. & Stassen, R. & Landis, W. G., 2017. "A regional scale ecological risk framework for environmental flow evaluations," Papers published in Journals (Open Access), International Water Management Institute, pages 22(2):957-9.
  23. Thomas Dufhues & Gertrud Buchenrieder & Zhanli Sun, 0. "Exploring Policy Options in Regulating Rural–Urban Migration with a Bayesian Network: A Case Study in Kazakhstan," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 0, pages 1-25.
  24. Marcot, Bruce G., 2017. "Common quandaries and their practical solutions in Bayesian network modeling," Ecological Modelling, Elsevier, vol. 358(C), pages 1-9.
  25. 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.
  26. Semakula, Henry Musoke & Liang, Song & Mukwaya, Paul Isolo & Mugagga, Frank, 2023. "Application of a Bayesian network modelling approach to predict the cascading effects of COVID-19 restrictions on the planting activities of smallholder farmers in Uganda," Agricultural Systems, Elsevier, vol. 211(C).
  27. Meyer, Spencer R. & Johnson, Michelle L. & Lilieholm, Robert J. & Cronan, Christopher S., 2014. "Development of a stakeholder-driven spatial modeling framework for strategic landscape planning using Bayesian networks across two urban-rural gradients in Maine, USA," Ecological Modelling, Elsevier, vol. 291(C), pages 42-57.
  28. Junquera, Victoria & Meyfroidt, Patrick & Sun, Zhanli & Latthachack, Phokham & Grêt-Regamey, Adrienne, 2020. "From global drivers to local land-use change: Understanding the northern Laos rubber boom," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 109, pages 103-115.
  29. Chen, Baili & Duan, Quntao & Zhao, Wenzhi & Wang, Lixin & Zhong, Yanxia & Zhuang, Yanli & Chang, Xueli & Dong, Chunyuan & Du, Wentao & Luo, Lihui, 2023. "Oasis sustainability is related to water supply mode," Agricultural Water Management, Elsevier, vol. 290(C).
  30. Joseph W. Zabinski & Kelsey J. Pieper & Jacqueline MacDonald Gibson, 2018. "A Bayesian Belief Network Model Assessing the Risk to Wastewater Workers of Contracting Ebola Virus Disease During an Outbreak," Risk Analysis, John Wiley & Sons, vol. 38(2), pages 376-391, February.
  31. Barton, David N. & Benjamin, Tamara & Cerdán, Carlos R. & DeClerck, Fabrice & Madsen, Anders L. & Rusch, Graciela M. & Salazar, Álvaro G. & Sanchez, Dalia & Villanueva, Cristóbal, 2016. "Assessing ecosystem services from multifunctional trees in pastures using Bayesian belief networks," Ecosystem Services, Elsevier, vol. 18(C), pages 165-174.
  32. Gieder, Katherina D. & Karpanty, Sarah M. & Fraser, James D. & Catlin, Daniel H. & Gutierrez, Benjamin T. & Plant, Nathaniel G. & Turecek, Aaron M. & Robert Thieler, E., 2014. "A Bayesian network approach to predicting nest presence of the federally-threatened piping plover (Charadrius melodus) using barrier island features," Ecological Modelling, Elsevier, vol. 276(C), pages 38-50.
  33. Florin, Madeleine J. & van Ittersum, Martin K. & van de Ven, Gerrie W.J., 2013. "Family farmers and biodiesel production: Systems thinking and multi-level decisions in Northern Minas Gerais, Brazil," Agricultural Systems, Elsevier, vol. 121(C), pages 81-95.
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