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Bayesian analysis of capture-recapture data with hidden Markov models: Theory and case studies in R and NIMBLE

Table of contents

Welcome
Preface
Foundations
Introduction
1 Bayesian statistics & MCMC
2 NIMBLE tutorial
3 Hidden Markov models
Transitions
Introduction
4 Alive and dead
5 Sites and states
Case studies
Introduction
6 Covariates
7 Lack of fit
8 Life history
Conclusion
References

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Introduction

WORK IN PROGRESS

This first part Foundations is aimed at getting you up-to-speed with Bayesian statistics, NIMBLE, and hidden Markov models.

1 Bayesian statistics & MCMC

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Introduction

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"Bayesian analysis of capture-recapture data with hidden Markov models: Theory and case studies in R and NIMBLE" was written by Olivier Gimenez. It was last built on 2025-01-06.

This book was built by the bookdown R package.