Bayesian Analysis of Capture-Recapture Data with Hidden Markov Models: Theory and Case Studies in R and NIMBLE - Chapman & Hall / CRC Interdisciplinary Statistics - Gimenez, Olivier (Centre d'Ecologie Fonctionnelle et Evolutive - CNRS, France) - Books - Taylor & Francis Ltd - 9781032154237 - March 29, 2026
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Gimenez, Olivier (Centre d'Ecologie Fonctionnelle et Evolutive - CNRS, France)
Bayesian Analysis of Capture-Recapture Data with Hidden Markov Models: Theory and Case Studies in R and NIMBLE - Chapman & Hall / CRC Interdisciplinary Statistics

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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.

Media Books     Hardcover Book   (Book with hard spine and cover)
Released March 29, 2026
ISBN13 9781032154237
Publishers Taylor & Francis Ltd
Pages 336
Dimensions 242 × 165 × 26 mm   ·   692 g
Language English  

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