Good practice in Bayesian network modelling

Learning Bayesian Networks: The Combination of Knowledge and Statistical Data

Heckerman, D., Geiger, D., & Chickering, D. M. (1995) · Machine Learning · doi:10.1023/a:1022623210503 · Cited by 3,231

Equifinality, data assimilation, and uncertainty estimation in mechanistic modelling of complex environmental systems using the GLUE methodology

Beven, K., & Freer, J. (2001) · Journal of Hydrology · doi:10.1016/s0022-1694(01)00421-8 · Cited by 2,189

Learning Bayesian networks: The combination of knowledge and statistical data

Heckerman, D., Geiger, D., & Chickering, D. M. (1995) · Machine Learning · doi:10.1007/bf00994016 · Cited by 2,017

Modelling with stakeholders☆

Voinov, A., & Bousquet, F. (2010) · Environmental Modelling & Software · doi:10.1016/j.envsoft.2010.03.007 · Cited by 1,354

Advantages and challenges of Bayesian networks in environmental modelling

Uusitalo, L. (2007) · Ecological Modelling · doi:10.1016/j.ecolmodel.2006.11.033 · Cited by 1,118

Ten iterative steps in development and evaluation of environmental models

Jakeman, A. J., Letcher, R. A., & Norton, J. P. (2006) · Environmental Modelling & Software · doi:10.1016/j.envsoft.2006.01.004 · Cited by 1,111

How to avoid a perfunctory sensitivity analysis

Saltelli, A., & Annoni, P. (2010) · Environmental Modelling & Software · doi:10.1016/j.envsoft.2010.04.012 · Cited by 974

Guidelines for developing and updating Bayesian belief networks applied to ecological modeling and conservation

Marcot, B. G., Steventon, J. D., Sutherland, G. D., & McCann, R. K. (2006) · Canadian Journal of Forest Research · doi:10.1139/x06-135 · Cited by 667

Bayesian networks in environmental modelling

Aguilera, P. A., Fernández, A., Fernández, R., Rumí, R., & Salmerón, A. (2011) · Environmental Modelling & Software · doi:10.1016/j.envsoft.2011.06.004 · Cited by 666

A Bayesian network of eutrophication models for synthesis, prediction, and uncertainty analysis

Borsuk, M. E., Stow, C. A., & Reckhow, K. H. (2004) · Ecological Modelling · doi:10.1016/j.ecolmodel.2003.08.020 · Cited by 492

Object-Oriented Bayesian Networks

Koller, D., & Pfeffer, A. (2013) · arXiv (Cornell University) · doi:10.48550/arxiv.1302.1554 · Cited by 488

Parameterisation and evaluation of a Bayesian network for use in an ecological risk assessment

Pollino, C. A., Woodberry, O., Nicholson, A., Korb, K., & Hart, B. T. (2007) · Environmental Modelling & Software · doi:10.1016/j.envsoft.2006.03.006 · Cited by 477

Modelling guidelines––terminology and guiding principles

Refsgaard, J. C., & Henriksen, H. J. (2004) · Advances in Water Resources · doi:10.1016/j.advwatres.2003.08.006 · Cited by 417

Using Bayesian belief networks to evaluate fish and wildlife population viability under land management alternatives from an environmental impact statement

Marcot, B. G., Holthausen, R. S., Raphael, M. G., Rowland, M. M., & Wisdom, M. J. (2001) · Forest Ecology and Management · doi:10.1016/s0378-1127(01)00452-2 · Cited by 417

Artificial Intelligence techniques: An introduction to their use for modelling environmental systems

Chen, S. H., Jakeman, A. J., & Norton, J. P. (2008) · Mathematics and Computers in Simulation · doi:10.1016/j.matcom.2008.01.028 · Cited by 323

Bayesian Networks and participatory modelling in water resource management

Castelletti, A., & Soncini-Sessa, R. (2007) · Environmental Modelling & Software · doi:10.1016/j.envsoft.2006.06.003 · Cited by 306

Ten iterative steps for model development and evaluation applied to Computational Fluid Dynamics for Environmental Fluid Mechanics

Blocken, B., & Gualtieri, C. (2012) · Environmental Modelling & Software · doi:10.1016/j.envsoft.2012.02.001 · Cited by 287

Learning Bayesian Belief Network Classifiers: Algorithms and System

Cheng, J., & Greiner, R. (2001) · Lecture Notes in Computer Science · doi:10.1007/3-540-45153-6_14 · Cited by 284

The use of Hugin® to develop Bayesian networks as an aid to integrated water resource planning

Bromley, J., Jackson, N. A., Clymer, O. J., Giacomello, A. M., & Jensen, F. V. (2005) · Environmental Modelling & Software · doi:10.1016/j.envsoft.2003.12.021 · Cited by 256

Stable local computation with conditional Gaussian distributions

Lauritzen, S. L., & Jensen, F. (2001) · Statistics and Computing · doi:10.1023/a:1008935617754 · Cited by 241

Mixtures of Truncated Exponentials in Hybrid Bayesian Networks

Moral, S., Rumi, R., & Salmerón, A. (2001) · Lecture Notes in Computer Science · doi:10.1007/3-540-44652-4_15 · Cited by 208

Using a Bayesian belief network to predict suitable habitat of an endangered mammal – The Julia Creek dunnart (Sminthopsis douglasi)

Smith, C. S., Howes, A., Price, B., & McAlpine, C. (2007) · Biological Conservation · doi:10.1016/j.biocon.2007.06.025 · Cited by 179

Assessing the decline of brown trout (Salmo trutta) in Swiss rivers using a Bayesian probability network

Borsuk, M. E., Reichert, P., Peter, A., Schager, E., & Burkhardt-Holm, P. (2006) · Ecological Modelling · doi:10.1016/j.ecolmodel.2005.07.006 · Cited by 179

A Bayesian belief network analysis of factors influencing wildfire occurrence in Swaziland

Dlamini, W. M. (2010) · Environmental Modelling & Software · doi:10.1016/j.envsoft.2009.08.002 · Cited by 175

A Bayesian network approach for assessing the sustainability of coastal lakes in New South Wales, Australia

Ticehurst, J. L., Newham, L. T. H., Rissik, D., Letcher, R. A., & Jakeman, A. J. (2007) · Environmental Modelling & Software · doi:10.1016/j.envsoft.2006.03.003 · Cited by 170

On the usefulness of overparameterized ecological models

Reichert, P., & Omlin, M. (1997) · Ecological Modelling · doi:10.1016/s0304-3800(96)00043-9 · Cited by 170

Assessing uncertainties in urban drainage models

Deletic, A., Dotto, C. B. S., McCarthy, D. T., Kleidorfer, M., Freni, G., Mannina, G., Uhl, M., Henrichs, M., Fletcher, T. D., Rauch, W., et al. (2012) · Physics and Chemistry of the Earth, Parts A/B/C · doi:10.1016/j.pce.2011.04.007 · Cited by 162

dHugin: a computational system for dynamic time-sliced Bayesian networks

Kjærulff, U. B. (1995) · International Journal of Forecasting · doi:10.1016/0169-2070(94)02003-8 · Cited by 135

Assessment of a Bayesian Belief Network–GIS framework as a practical tool to support marine planning

Stelzenmüller, V., Lee, J., Garnacho, E., & Rogers, S. I. (2010) · Marine Pollution Bulletin · doi:10.1016/j.marpolbul.2010.06.024 · Cited by 119

An integrated approach to linking economic valuation and catchment modelling

Kragt, M. E., Newham, L., Bennett, J. W., & Jakeman, A. J. (2010) · Environmental Modelling & Software · doi:10.1016/j.envsoft.2010.04.002 · Cited by 116

Ten steps applied to development and evaluation of process-based biogeochemical models of estuaries

Robson, B., Hamilton, D. P., Webster, I. T., et al. (2007) · Environmental Modelling & Software · doi:10.1016/j.envsoft.2007.05.019 · Cited by 115

Integrated water resources management of overexploited hydrogeological systems using Object-Oriented Bayesian Networks

Molina, J.-L., Bromley, J., García-Aróstegui, J. L., Sullivan, C. A., & Benavente, J. (2009) · Environmental Modelling & Software · doi:10.1016/j.envsoft.2009.10.007 · Cited by 115

Inference in hybrid Bayesian networks

Helge Langseth, A., Nielsen, T. D., Rumí, R., & Salmerón, A. (2009) · Reliability Engineering & System Safety · doi:10.1016/j.ress.2009.02.027 · Cited by 106

Hybrid Bayesian network classifiers: Application to species distribution models

Aguilera, P. A., Fernández, A., Reche, F., & Rumí, R. (2010) · Environmental Modelling & Software · doi:10.1016/j.envsoft.2010.04.016 · Cited by 78

The Use of Participatory Object-Oriented Bayesian Networks and Agro-Economic Models for Groundwater Management in Spain

Carmona, G., Varela‐Ortega, C., & Bromley, J. (2011) · Water Resources Management · doi:10.1007/s11269-010-9757-y · Cited by 70

Using Bayesian Networks to complement conventional analyses to explore landholder management of native vegetation

Ticehurst, J. L., Curtis, A. L., & Merritt, W. (2010) · Environmental Modelling & Software · doi:10.1016/j.envsoft.2010.03.032 · Cited by 70

Examination of conflicts and improved strategies for the management of an endangered Eucalypt species using Bayesian networks

Pollino, C., White, A. K., & Hart, B. T. (2006) · Ecological Modelling · doi:10.1016/j.ecolmodel.2006.07.032 · Cited by 68

An evaluation of automated structure learning with Bayesian networks: An application to estuarine chlorophyll dynamics

Alameddine, I., Cha, Y., & Reckhow, K. H. (2010) · Environmental Modelling & Software · doi:10.1016/j.envsoft.2010.08.007 · Cited by 66

Using Monte-Carlo simulations and Bayesian Networks to quantify and demonstrate the impact of fertiliser best management practices

Nash, D. M., & Hannah, M. C. (2011) · Environmental Modelling & Software · doi:10.1016/j.envsoft.2011.03.009 · Cited by 60

Use of a Bayesian network for Red Listing under uncertainty

Newton, A. C. (2009) · Environmental Modelling & Software · doi:10.1016/j.envsoft.2009.07.016 · Cited by 55

Adaptive modelling for adaptive water quality management in the Great Barrier Reef region, Australia

Lynam, T., Drewry, J. J., Higham, W., & Mitchell, C. (2009) · Environmental Modelling & Software · doi:10.1016/j.envsoft.2009.09.013 · Cited by 53

Reforestation planning using Bayesian networks

Ordóñez, C., Matías, J. M., Rivas, T., & Bastante, F. G. (2009) · Environmental Modelling & Software · doi:10.1016/j.envsoft.2009.05.009 · Cited by 41

Distribution and conservation status of the Tasmanian giant freshwater lobster Astacopsis gouldi (Decadopa: Parastacidae)

Horwitz, P. (1994) · Biological Conservation · doi:10.1016/0006-3207(94)90060-4 · Cited by 32

Quantifying the uncertainty of a belief net response: Bayesian error-bars for belief net inference

Allen, T. V., Singh, A. P., Greiner, R., & Hooper, P. (2007) · Artificial Intelligence · doi:10.1016/j.artint.2007.09.004 · Cited by 32

Discretization for Continuous Attributes

Muhlenbach, F., & Rakotomalala, R. (2005) · IGI Global eBooks · doi:10.4018/978-1-59140-557-3.ch076 · Cited by 27

Tools and methods in participatory modeling: Selecting the right tool for the job

Voinov, A., Jenni, K., Gray, S., Kolagani, N., Glynn, P. D., Bommel, P., Prell, C., Zellner, M., Paolisso, M., Jordan, R., et al. (2018) · Environmental Modelling & Software · doi:10.1016/j.envsoft.2018.08.028 · Cited by 428

Big data reduction framework for value creation in sustainable enterprises

Rehman, M. H. U., Chang, V., Batool, A., & Wah, T. Y. (2016) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2016.05.013 · Cited by 279

Power Law Distributions in Information Retrieval

Petersen, C., Simonsen, J. G., & Lioma, C. (2016) · ACM Transactions on Information Systems · doi:10.1145/2816815 · Cited by 46

A Bayesian Belief Network to assess rate of changes in coral reef ecosystems

Franco, C., Hepburn, L. A., Smith, D. J., Nimrod, S., & Tucker, A. (2016) · Environmental Modelling & Software · doi:10.1016/j.envsoft.2016.02.029 · Cited by 25