| Abstract: | Multimodel inference has two main themes: model selection, and model averaging. Model averaging is a means of making inference conditional on a model set, rather than on a selected model, allowing formal recognition of the uncertainty associated with model choice. The Bayesian paradigm provides a natural framework for model averaging, and provides a context for evaluation of the commonly used AIC weights. We review Bayesian multimodel inference, noting the importance of Bayes factors. Noting the sensitivity of Bayes factors to the choice of priors on parameters, we define and propose nonpreferential priors as offering a reasonable standard for objective multimodel inference. |
| Genre: | Book chapter |
| ProdID: | 5211454 |
| Citation Author: | Link, W.A.; Barker, R.J. |
| Citation Contributing Office: | Patuxent Wildlife Research Center |
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| Citation Editor: | Thomson, David L.; Cooch, Evan G.; Conroy, Michael J. (editors) |
| Citation End Page: | 615 |
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| Citation Language: | English |
| Citation Larger Work Title: | Modeling demographic processes in marked populations |
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| Citation Phsyical Description: | xxiv, 1136 |
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| Citation Public Comments: | Proceedings of the 2007 EURING Technical Meeting and Workshop held January 14-20, 2007 in Dunedin, New Zealand. OCLC: 213382236 PDF on file: 7054_Link.pdf |
| Citation Publisher: | Springer |
| Citation Series: | Environmental and ecological statistics |
| Citation Series Code: | |
| Citation Series Number: | 3 |
| Citation Search Results Text: | Bayes factors and multimodel inference; 2009; Book chapter; 3; Modeling demographic processes in marked populations; Link, W.A.; Barker, R.J. |
| Citation Start Page: | 595 |
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| Citation Year: | 2009 |
| Type: | citation/reference |
| Text: | Bayes factors and multimodel inference; 2009; Book chapter; 3; Modeling demographic processes in marked populations; Link, W.A.; Barker, R.J. |
| URL (THUMBNAIL): | http://pubs.er.usgs.gov/thumbnails/outside_thumb.jpg |
| Date Other: | Tue, 9 Jun 2009 09:23 -0500 |
| Publisher: | Springer |
