Bayesian Analysis of Capture-Recapture Data with Hidden Markov Models: Theory and Case Studies in R and NIMBLE (Chapman & Hall/CRC Interdisciplinary Statistics) - Hardcover

Gimenez, Olivier

 
9781032154237: Bayesian Analysis of Capture-Recapture Data with Hidden Markov Models: Theory and Case Studies in R and NIMBLE (Chapman & Hall/CRC Interdisciplinary Statistics)

Inhaltsangabe

Introduces ecologists and statisticians to a powerful and unifying framework for analysing capture-recapture data. Hidden Markov models (HMMs) have become a cornerstone in modern population ecology.

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Über die Autorin bzw. den Autor

Olivier Gimenez is a Research Director at the French National Centre for Scientific Research (CNRS), based at the Centre for Functional and Evolutionary Ecology (CEFE) in Montpellier. Trained as a statistician, he works at the interface of ecology, statistical modelling, and the social sciences, with a particular interest in human-wildlife interactions and population ecology. He coordinates several interdisciplinary projects focusing on mammals and their interactions with human activities. He is the founder of the Statistical Ecology Research Network (GDR Ecologie Statistique), a national network dedicated to statistical ecology. For more than 15 years, he has been teaching statistics to ecologists - especially Bayesian statistics over the past decade - to master's and PhD students.

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