M. Schaub and M. Kéry Combining information in hierarchical models improves inferences in population ecology and demographic population analyses Animal Conservation 15
Article first published online: 12 MAR 2012 | DOI: 10.1111/j.1469-1795.2012.00531.x
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
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