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

Authors


Correspondence

Michael Schaub, Swiss Ornithological Institute, 6204 Sempach, Switzerland

Email: michael.schaub@vogelwarte.ch

Abstract

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

Ancillary