Combining information in hierarchical models improves inferences in population ecology and demographic population analyses

Read the Feature Paper: Bayesian shared frailty models for regional inference about wildlife survival Other Commentaries on this paper: Bayesian shared frailty models for regional inference about wildlife survival; ‘Each site has its own survival probability, but information is borrowed across sites...

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Bibliographic Details
Published in:Animal conservation 2012-04, Vol.15 (2), p.125-126
Main Authors: Schaub, M., Kéry, M.
Format: Article
Language:English
Subjects:
Conservation
Demography
Population ecology
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Summary:Read the Feature Paper: Bayesian shared frailty models for regional inference about wildlife survival Other Commentaries on this paper: Bayesian shared frailty models for regional inference about wildlife survival; ‘Each site has its own survival probability, but information is borrowed across sites to tell us about survival in each site’: random effects models as means of borrowing strength in survival studies of wild vertebrates Response from the authors: ‘Exciting statistics’: the rapid development and promising future of hierarchical models for population ecology
ISSN:1367-9430
1469-1795
DOI:10.1111/j.1469-1795.2012.00531.x