Coupled Bayesian networks and recursive partitioning method for wetland ecological modelling
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Author(s)
Fu, B
Pollino, CA
Merritt, W
Capon, S
Griffith University Author(s)
Year published
2011
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Show full item recordAbstract
Bayesian Networks (BNs) are increasingly recognised as a useful tool for ecological modelling due to their ability to incorporate a broad range of data types and explicit representation of uncertainty through the use of probabilities. They allow considerable flexibility with respect to the detail and focus of the models allowing conceptually simple habitat condition models or more complex mechanistic representation of ecological response. However, BN outputs are sensitive to the model structure, particularly the selection and linking of variables and how the states are defined for each variable. In this paper, we use ...
View more >Bayesian Networks (BNs) are increasingly recognised as a useful tool for ecological modelling due to their ability to incorporate a broad range of data types and explicit representation of uncertainty through the use of probabilities. They allow considerable flexibility with respect to the detail and focus of the models allowing conceptually simple habitat condition models or more complex mechanistic representation of ecological response. However, BN outputs are sensitive to the model structure, particularly the selection and linking of variables and how the states are defined for each variable. In this paper, we use recursive partitioning to inform the configuration of the structure of BNs, used for ecological response modelling.
View less >
View more >Bayesian Networks (BNs) are increasingly recognised as a useful tool for ecological modelling due to their ability to incorporate a broad range of data types and explicit representation of uncertainty through the use of probabilities. They allow considerable flexibility with respect to the detail and focus of the models allowing conceptually simple habitat condition models or more complex mechanistic representation of ecological response. However, BN outputs are sensitive to the model structure, particularly the selection and linking of variables and how the states are defined for each variable. In this paper, we use recursive partitioning to inform the configuration of the structure of BNs, used for ecological response modelling.
View less >
Conference Title
19TH INTERNATIONAL CONGRESS ON MODELLING AND SIMULATION (MODSIM2011)
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Copyright Statement
© 2011 Modellling & Simulation Society of Australia & New Zealand. The attached file is reproduced here in accordance with the copyright policy of the publisher. For information about this conference please refer to the conference’s website or contact the authors.
Subject
Applied statistics