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Bayesian Analysis of Capture-Recapture Data with Hidden Markov Models
:
Theory and Case Studies in R
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Table of contents
Welcome
Preface
About the author
I. Fundations
Introduction
1
Bayesian statistics & MCMC
2
NIMBLE tutorial
3
Hidden Markov models
II. Transitions
Introduction
4
Survival
5
Dispersal
6
Covariates
7
Model selection and validation
III. States
Introduction
8
State uncertainty
9
Hidden semi-Markov models
IV. Case studies
Introduction
10
Life history theory
11
Abundance
12
Stopover duration
13
Individual dependence
V. Conclusion
Take-home messages
FAQ
References
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Take-home messages
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13
Individual dependence
FAQ
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