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

Ecological Applications

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Abstract

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.

Additional Publication Details

Publication type:
Article
Publication Subtype:
Journal Article
Title:
Bayesian inference and decision theory - A framework for decision making in natural resource management
Series title:
Ecological Applications
Volume
13
Issue:
2
Year Published:
2003
Language:
English
Larger Work Type:
Article
Larger Work Subtype:
Journal Article
Larger Work Title:
Ecological Applications
First page:
556
Last page:
563
Number of Pages:
8