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Combining information in hierarchical models improves inferences in population ecology and demographic population analyses
Author(s) -
Schaub M.,
Kéry M.
Publication year - 2012
Publication title -
animal conservation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.111
H-Index - 85
eISSN - 1469-1795
pISSN - 1367-9430
DOI - 10.1111/j.1469-1795.2012.00531.x
Subject(s) - inference , wildlife , bayesian inference , bayesian probability , ecology , population , geography , econometrics , statistics , biology , computer science , demography , artificial intelligence , mathematics , sociology
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