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Bayesian inference and decision theory - A framework for decision making in natural resource management

January 1, 2003

Bayesian inference and decision theory may be used in the solution of relatively complex problems of natural resource management, owing to recent advances in statistical theory and computing. In particular, Markov chain Monte Carlo algorithms provide a computational framework for fitting models of adequate complexity and for evaluating the expected consequences of alternative management actions. We illustrate these features using an example based on management of waterfowl habitat.

Citation Information

Publication Year 2003
Title Bayesian inference and decision theory - A framework for decision making in natural resource management
DOI 10.1890/1051-0761(2003)013[0556:BIADTA]2.0.CO;2
Authors R.M. Dorazio, F.A. Johnson
Publication Type Article
Publication Subtype Journal Article
Series Title Ecological Applications
Series Number
Index ID 70025679
Record Source USGS Publications Warehouse
USGS Organization

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