Bayesian Population Analysis using WinBUGS

A hierarchical perspective


  • Marc Kery, Population Ecologist, Swiss Ornithological Institute, Switzerland
  • Michael Schaub, Swiss Ornithological Institute, Sempach, Switzerland

Bayesian statistics has exploded into biology and its sub-disciplines, such as ecology, over the past decade. The free software program WinBUGS, and its open-source sister OpenBugs, is currently the only flexible and general-purpose program available with which the average ecologist can conduct standard and non-standard Bayesian statistics.
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Professional ecologists, upper-level graduate and graduate ecology students.


Book information

  • Published: September 2011
  • ISBN: 978-0-12-387020-9

Table of Contents



1. Introduction

2. Very brief introduction to Bayesian statistical modeling

3. Introduction to the generalized linear model (GLM): The simplest model for count data

4. Introduction to random effects: The conventional Poisson GLMM for count data

5. State-space models

6. Estimation of population size

7. Estimation of survival probabilities using capture-recapture data

8. Estimation of survival probabilities using mark-recovery data

9. Multistate capture-recapture models

10. Estimation of survival and recruitment using the Jolly-Seber model

11. Integrated population models

12. Metapopulation modeling of abundance using hierarchical Poisson regression

13. Metapopulation modeling of species distributions using hierarchical logistic regression

14. Concluding remarks