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.
| 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 |
| DOI | 10.1890/1051-0761(2003)013[0556:BIADTA]2.0.CO;2 |
| Volume | 13 |
| Issue | 2 |
| Year Published | 2003 |
| Language | English |
| Publisher | Ecological Society of America |
| Description | 8 p. |
| First page | 556 |
| Last page | 563 |
| Online Only (Y/N) | N |
| Additional Online Files (Y/N) | N |
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