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‘Exciting statistics’: the rapid development and promising future of hierarchical models for population ecology
Author(s) -
Halstead B. J.,
Wylie G. D.,
Coates P. S.,
Valcarcel P.,
Casazza M. L.
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.1469-1795.2012.00540.x
Subject(s) - inference , wildlife , bayesian inference , bayesian probability , ecology , population , feature (linguistics) , geography , population ecology , statistics , computer science , econometrics , biology , artificial intelligence , demography , mathematics , sociology , linguistics , philosophy
Read the Feature Paper: Bayesian shared frailty models for regional inference about wildlife survival Commentaries on this Feature Paper: Combining information in hierarchical models improves inferences in population ecology and demographic population analyses ; 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