Dr. Marc Kéry is a senior scientist at the Swiss Ornithological Institute, a non-profit NGO with about 200 employees dedicated primarily to bird research, monitoring, and conservation. Marc was trained as a plant population ecologist at the universities of Basel and Zürich, Switzerland. After a 2-year postdoc at the (then) USGS Patuxent Wildlife Center in Laurel, USA, he moved into animal population ecology and during the last 25 years has worked at the interface between population ecology, biodiversity monitoring, wildlife management, and applied statistics. He has published more than 150 peer-reviewed journal articles and six textbooks on applied statistical modeling. He has taught more than 60 one-week workshops all over the world to biologists and wildlife managers about the concepts and practice of modern statistical analysis in their fields, something which goes together with his books, which target the same audiences.

• 1. Introduction2. Principles of Bayesian Statistics3. WinBUGS4. A First Session in WinBUGS5. Running WinBUGS from R via R2WinBUGS6. Key Components of Generalized Linear Models7. T-Test, Normal Linear Regression8. Normal One-Way ANOVA9. Interaction, General Linear Model10. Linear Mixed-Effects Model11. Introduction to the Generalized Linear Model (GLM)12. Overdispersion and Offsets in the GLM13. Poisson ANCOVA14. Poisson Mixed-Effects Model15. Binomial T-Test16. Binomial ANCOVA17. Binomial Mixed-Effects Model18. Non-Standard GLMMs 119. Non-Standard GLMMs 220. Conclusion and OutlookAcknowledgementsReferences

"I don’t believe this book was written with the goal of being treated as the primary text of an intro Bayesian statistics course. That said, it could prove to be a useful supplemental text for an introductory Bayesian course or even a linear models course. Although the book was geared towards ecologists, I believe it would be an excellent library addition for any applied modeler interested in applying Bayesian methodologies in their work." --The American Statistician