Bayesian Population Analysis using WinBUGS
A hierarchical perspectiveBy
- Marc Kery
- Michael Schaub
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.
Professional ecologists, upper-level graduate and graduate ecology students.
Paperback, 554 Pages
Published: September 2011
Imprint: Academic Press
1. Introduction2. Very brief introduction to Bayesian statistical modeling
3. Introduction to the generalized linear model (GLM): The simplest model for count data4. Introduction to random effects: The conventional Poisson GLMM for count data
5. State-space models6. Estimation of population size
7. Estimation of survival probabilities using capture-recapture data8. Estimation of survival probabilities using mark-recovery data
9. Multistate capture-recapture models10. Estimation of survival and recruitment using the Jolly-Seber model
11. Integrated population models12. Metapopulation modeling of abundance using hierarchical Poisson regression
13. Metapopulation modeling of species distributions using hierarchical logistic regression14. Concluding remarks