Bayesian networks in environmental modelling

Fuzzy sets

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Maximum Likelihood from Incomplete Data Via the EM Algorithm

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Estimating the Dimension of a Model

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Fuzzy sets

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Pattern Classification

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Cross validatory choice and assessment of statistical predictions

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Pattern Classification

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Bayesian network classifiers

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Causation, Prediction, and Search

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A Bayesian method for the induction of probabilistic networks from data

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Bayesian Networks and Decision Graphs

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Local Computations with Probabilities on Graphical Structures and Their Application to Expert Systems

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Learning Bayesian Networks: The Combination of Knowledge and Statistical Data

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Statistical Reasoning with Imprecise Probabilities

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Statistical Reasoning With Imprecise Probabilities

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Fusion, propagation, and structuring in belief networks

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Learning Bayesian networks: The combination of knowledge and statistical data

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The computational complexity of probabilistic inference using bayesian belief networks

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Supervised and Unsupervised Discretization of Continuous Features

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Bayesian Networks and Decision Graphs

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Probabilistic Networks and Expert Systems

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Proceedings of the 20th conference on Uncertainty in artificial intelligence

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Uncertainty in Artificial Intelligence

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Modelling with stakeholders☆

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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

Bayesian Artificial Intelligence

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Methods used for the development of neural networks for the prediction of water resource variables in river systems: Current status and future directions

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Approximating probabilistic inference in Bayesian belief networks is NP-hard

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The EM algorithm for graphical association models with missing data

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A Review of Tools for Incorporating Community Knowledge, Preferences, and Values into Decision Making in Natural Resources Management

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Bayesian Networks and Decision Graphs

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Linear Models with R

Faraway, J. J. (2025) · Chapman & Hall/CRC eBooks · doi:10.1201/9781003449973 · Cited by 702

Graphical Models for Associations between Variables, some of which are Qualitative and some Quantitative

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

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Symbolic and Quantitative Approaches to Reasoning and Uncertainty: European Conference ECSQARU '93 Granada, Spain, November 8–10, 1993 Proceedings

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Bayesian updating in causal probabilistic networks by local computations

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Axioms for Probability and Belief-Function Propagation

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

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

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Propagation of Probabilities, Means, and Variances in Mixed Graphical Association Models

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Exploiting Causal Independence in Bayesian Network Inference

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

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HUGIN: a shell for building Bayesian belief universes for expert systems

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Bayesian belief networks: applications in ecology and natural resource management

McCann, R. K., Marcot, B. G., & Ellis, R. (2006) · Canadian Journal of Forest Research · doi:10.1139/x06-238 · Cited by 381

Learning limited dependence Bayesian classifiers

Sahami, M. (1996) · Cited by 363

Credal networks

Cozman, F. G. (2000) · Artificial Intelligence · doi:10.1016/s0004-3702(00)00029-1 · Cited by 339

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

A causal mapping approach to constructing Bayesian networks

Nadkarni, S., & Shenoy, P. P. (2004) · Decision Support Systems · doi:10.1016/s0167-9236(03)00095-2 · Cited by 293

Weighing and Integrating Evidence for Stochastic Simulation in Bayesian Networks

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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

Using Bayesian belief networks in adaptive management

Nyberg, J. B., Marcot, B. G., & Sulyma, R. (2006) · Canadian Journal of Forest Research · doi:10.1139/x06-108 · Cited by 234

Lazy propagation: A junction tree inference algorithm based on lazy evaluation

Madsen, A. L., & Jensen, F. V. (1999) · Artificial Intelligence · doi:10.1016/s0004-3702(99)00062-4 · Cited by 219

Science-based stakeholder dialogues: Theories and tools

Welp, M., de la Vega-Leinert, A., Stoll-Kleemann, S., & Jaeger, C. C. (2006) · Global Environmental Change · doi:10.1016/j.gloenvcha.2005.12.002 · Cited by 218

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

Public participation modelling using Bayesian networks in management of groundwater contamination

Henriksen, H. J., Rasmussen, P., Brandt, G., von Bülow, D., & Jensen, F. V. (2007) · Environmental Modelling & Software · doi:10.1016/j.envsoft.2006.01.008 · Cited by 184

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

A computational scheme for reasoning in dynamic probabilistic networks

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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

Bayesian network classifiers for mineral potential mapping

Porwal, A. K., Carranza, E. J. M., & Hale, M. (2005) · Computers & Geosciences · doi:10.1016/j.cageo.2005.03.018 · Cited by 174

Stochastic reservoir characterization using prestack seismic data

Eidsvik, J., Avseth, P., Omre, H., Mukerji, T., & Mavko, G. (2004) · Geophysics · doi:10.1190/1.1778241 · Cited by 173

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

A Constraint – Propagation Approach to Probabilistic Reasoning

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Estimation of incident clearance times using Bayesian Networks approach

Özbay, K. M. A., & Noyan, N. (2006) · Accident Analysis & Prevention · doi:10.1016/j.aap.2005.11.012 · Cited by 146

Learning Bayesian decision analysis by doing: lessons from environmental and natural resources management

Varis, O., & Kuikka, S. (1999) · Ecological Modelling · doi:10.1016/s0304-3800(99)00061-7 · Cited by 137

The use of Bayesian networks to guide investments in flow and catchment restoration for impaired river ecosystems

Stewart‐Koster, B., Bunn, S. E., Mackay, S., Poff, N. L., Naiman, R. J., & Lake, P. S. (2009) · Freshwater Biology · doi:10.1111/j.1365-2427.2009.02219.x · Cited by 136

The sensitivity of belief networks to imprecise probabilities: an experimental investigation

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Nonuniform Dynamic Discretization in Hybrid NetworksPreprint

Kozlov, A. V., & Koller, D. (2013) · arXiv (Cornell University) · doi:10.48550/arxiv.1302.1555 · Cited by 133

Stakeholder Values and Scientific Modeling in the Neuse River Watershed

Borsuk, M. E., Clemen, R. T., Maguire, L. A., & Reckhow, K. H. (2001) · Group Decision and Negotiation · doi:10.1023/a:1011231801266 · Cited by 130

Reflections on the use of Bayesian belief networks for adaptive management

Henriksen, H. J., & Barlebo, H. C. (2007) · Journal of Environmental Management · doi:10.1016/j.jenvman.2007.05.009 · Cited by 124

Learning to predict large-scale coral bleaching from past events: A Bayesian approach using remotely sensed data, in-situ data, and environmental proxies

Done, T., & Wooldridge, S. A. (2004) · Coral Reefs · doi:10.1007/s00338-003-0361-y · Cited by 122

Inference in hybrid Bayesian networks using mixtures of polynomials

Shenoy, P. P., & West, J. C. (2010) · International Journal of Approximate Reasoning · doi:10.1016/j.ijar.2010.09.003 · Cited by 121

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

Bayesian decision analysis for environmental and resource management

Varis, O. (1997) · Environmental Modelling & Software · doi:10.1016/s1364-8152(97)00008-x · Cited by 119

Information flow among fishing vessels modelled using a Bayesian network

Little, L. R., Kuikka, S., Punt, A. E., Pantus, F., Davies, C. R., & Mapstone, B. D. (2003) · Environmental Modelling & Software · doi:10.1016/s1364-8152(03)00100-2 · Cited by 116

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

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

An optimal approximation algorithm for Bayesian inference

Dagum, P., & Luby, M. G. (1997) · Artificial Intelligence · doi:10.1016/s0004-3702(97)00013-1 · Cited by 113

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

Evaluation of Bayesian Networks in Participatory Water Resources Management, Upper Guadiana Basin, Spain

Zorrilla‐Miras, P., Carmona, G., Portillo, Á. D. L. H., Varela‐Ortega, C., Martínez‐Santos, P., Bromley, J., & Henriksen, H. J. (2010) · Ecology and Society · doi:10.5751/es-03278-150312 · Cited by 106

Revealing ecological networks using Bayesian network inference algorithms

Milns, I., Beale, C. M., & Smith, V. A. (2010) · Ecology · doi:10.1890/09-0731.1 · Cited by 102

Developing decision support tools for rangeland management by combining state and transition models and Bayesian belief networks

Bashari, H., Smith, C. S., & Bosch, O. J. H. (2008) · Agricultural Systems · doi:10.1016/j.agsy.2008.09.003 · Cited by 102

An evolutionary Bayesian belief network methodology for optimum management of groundwater contamination

Farmani, R., Henriksen, H. J., & Savic, D. A. (2008) · Environmental Modelling & Software · doi:10.1016/j.envsoft.2008.08.005 · Cited by 101

Reduction of Computational Complexity in Bayesian Networks through Removal of Weak Dependences

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A new epsilon-dominance hierarchical Bayesian optimization algorithm for large multiobjective monitoring network design problems

Kollat, J. B., Reed, P. M., & Kasprzyk, J. R. (2008) · Advances in Water Resources · doi:10.1016/j.advwatres.2008.01.017 · Cited by 97

Participatory decision support for agricultural management. A case study from Sri Lanka

Cain, J., Jinapala, K., Makin, I. W., Somaratna, P. G., Ariyaratna, B. R., & Perera, L. R. (2003) · Agricultural Systems · doi:10.1016/s0308-521x(02)00006-9 · Cited by 94

Importance sampling in Bayesian networks using probability trees

Salmerón, A., Cano, A., & Moral, S. (2000) · Computational Statistics & Data Analysis · doi:10.1016/s0167-9473(99)00110-3 · Cited by 91

ASSESSING MODEL STRUCTURE UNCERTAINTY THROUGH AN ANALYSIS OF SYSTEM FEEDBACK AND BAYESIAN NETWORKS

Hosack, G. R., Hayes, K. R., & Dambacher, J. M. (2008) · Ecological Applications · doi:10.1890/07-0482.1 · Cited by 91

Fish recruitment prediction, using robust supervised classification methods

Fernandes, J. A., Irigoien, X., Goikoetxea, N., Lozano, J. A., Inza, I., Pérez, A., & Bode, A. (2009) · Ecological Modelling · doi:10.1016/j.ecolmodel.2009.09.020 · Cited by 87

A Method for Integrating Expert Knowledge When Learning Bayesian Networks From Data

Cano, A., Masegosa, A. R., & Moral, S. (2011) · IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) · doi:10.1109/tsmcb.2011.2148197 · Cited by 84

Belief network models of land manager decisions and land use change

Bacon, P. J., Cain, J., & HOWARD, D. C. (2002) · Journal of Environmental Management · doi:10.1006/jema.2001.0507 · Cited by 81

Approximations in Bayesian Belief Universe for Knowledge Based SystemsPreprint

Jensen, F., & Anderson, S. (2013) · arXiv (Cornell University) · doi:10.48550/arxiv.1304.1101 · Cited by 78

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

Integrated assessment of water resources: Australian experiences

Croke, B., Ticehurst, J. L., Letcher, R., Norton, J. P., Newham, L., & Jakeman, A. J. (2006) · Water Resources Management · doi:10.1007/s11269-006-9057-8 · Cited by 76

Evaluation of potential effects of federal land management alternatives on trends of salmonids and their habitats in the interior Columbia River basin

Rieman, B. E., Peterson, J. T., Clayton, J. L., Howell, P. J., Thurow, R. F., Thompson, W., & Lee, D. (2001) · Forest Ecology and Management · doi:10.1016/s0378-1127(01)00453-4 · Cited by 76

Status and trends of habitats of terrestrial vertebrates in relation to land management in the interior Columbia river basin

Raphael, M. G., Wisdom, M. J., Rowland, M. M., Holthausen, R. S., Wales, B. C., Marcot, B. G., & Rich, T. D. (2001) · Forest Ecology and Management · doi:10.1016/s0378-1127(01)00454-6 · Cited by 76

Bayesian networks in planning a large aquifer in Eastern Mancha, Spain

Olalla, F. M. D. S., Domínguez, A., Álvarez, J. F. O., Artigao, A., & Fabeiro, C. (2006) · Environmental Modelling & Software · doi:10.1016/j.envsoft.2006.05.020 · Cited by 73

Joint use of multiple environmental assessment models by a Bayesian meta-model: the Baltic salmon case

Varis, O., & Kuikka, S. (1997) · Ecological Modelling · doi:10.1016/s0304-3800(97)00068-9 · 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

Modelling cheetah relocation success in southern Africa using an Iterative Bayesian Network Development Cycle

Johnson, S., Mengersen, K. L., de Waal, A., Marnewick, K. A., Cilliers, D., Houser, A. M., & Boast, L. K. (2009) · Ecological Modelling · doi:10.1016/j.ecolmodel.2009.11.012 · Cited by 68

Estimation of Atlantic salmon smolt carrying capacity of rivers using expert knowledge

Uusitalo, L., Kuikka, S., & Romakkaniemi, A. (2005) · ICES Journal of Marine Science · doi:10.1016/j.icesjms.2005.02.005 · Cited by 67

An Integrated Bayesian Network approach to Lyngbya majuscula bloom initiation

Johnson, S., Fielding, F., Hamilton, G. S., & Mengersen, K. L. (2009) · Marine Environmental Research · doi:10.1016/j.marenvres.2009.07.004 · Cited by 67

Developing real time operating rules for trading discharge permits in rivers: Application of Bayesian Networks

Mesbah, S. M., Kerachian, R., & Nikoo, M. R. (2008) · Environmental Modelling & Software · doi:10.1016/j.envsoft.2008.06.007 · Cited by 66

Modelling the dynamics of coral reef macroalgae using a Bayesian belief network approach

Renken, H., & Mumby, P. J. (2009) · Ecological Modelling · doi:10.1016/j.ecolmodel.2009.02.022 · Cited by 64

Bayesian Belief Networks as a tool for evidence-based conservation management

Newton, A. C., Stewart, G. B., Díaz, A., Golicher, D., & Pullin, A. S. (2007) · Journal for Nature Conservation · doi:10.1016/j.jnc.2007.03.001 · Cited by 63

Application of belief networks to water management studies

Batchelor, C., & Cain, J. (1999) · Agricultural Water Management · doi:10.1016/s0378-3774(98)00103-6 · Cited by 63

Expert System Methodology for Evaluating Reductive Dechlorination at TCE Sites

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Using hidden multi-state Markov models with multi-parameter volcanic data to provide empirical evidence for alert level decision-support

Aspinall, W. P., Carniel, R., Jaquet, O., Woo, G., & Hincks, T. K. (2006) · Journal of Volcanology and Geothermal Research · doi:10.1016/j.jvolgeores.2005.08.010 · Cited by 62

Inferring species interaction networks from species abundance data: A comparative evaluation of various statistical and machine learning methods

Faisal, A., Dondelinger, F., Husmeier, D., & Beale, C. M. (2010) · Ecological Informatics · doi:10.1016/j.ecoinf.2010.06.005 · Cited by 61

Advances in Bayesian Networks

(2004) · Studies in fuzziness and soft computing · doi:10.1007/978-3-540-39879-0 · Cited by 59

Bayesian Artificial Intelligence

Jensen, F. V. (2004) · Pattern Analysis and Applications · doi:10.1007/s10044-004-0214-5 · Cited by 56

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

Precaution, uncertainty and causation in environmental decisions

Ricci, P. F., Rice, D. W., Ziagos, J. P., & Cox, L. A. (2003) · Environment International · doi:10.1016/s0160-4120(02)00191-5 · Cited by 55

Formalizing expert knowledge to compare alternative management plans: Sociological perspective to the future management of Baltic salmon stocks

Haapasaari, P., & Karjalainen, T. P. (2009) · Marine Policy · doi:10.1016/j.marpol.2009.10.002 · Cited by 53

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

Using Bayesian networks with rule extraction to infer the risk of weed infestation in a corn-crop

Bressan, G. M., Oliveira, V. A., Junior, E. R. H., & Nicoletti, M. C. (2009) · Engineering Applications of Artificial Intelligence · doi:10.1016/j.engappai.2009.03.006 · Cited by 46

Negotiating participatory irrigation management in the Indian Himalayas

Saravanan, V. S. (2010) · Agricultural Water Management · doi:10.1016/j.agwat.2009.12.003 · Cited by 44

Comparative reflections on the use of modelling tools in conflictive water management settings: The Mancha Occidental aquifer, Spain

Martínez‐Santos, P., Henriksen, H. J., Zorrilla‐Miras, P., & Martínez‐Alfaro, P. E. (2009) · Environmental Modelling & Software · doi:10.1016/j.envsoft.2008.11.011 · Cited by 42

Reforestation planning using Bayesian networks

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A Monte Carlo algorithm for probabilistic propagation in belief networks based on importance sampling and stratified simulation techniques

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