1st Edition
Bayesian Analysis of Capture-Recapture Data with Hidden Markov Models Theory and Case Studies in R and NIMBLE
1. Bayesian statistics & MCMC
2. NIMBLE tutorial
3. Hidden Markov models
4. Alive and dead
5. Sites and states
6. Dealing with covariates
7. Addressing model lack of fit
8. Quantifying life history traits
Biography
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.
