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Bayesian Population Analysis using WinBUGS
A Hierarchical Perspective
A comprehensive collection of richly commented Bayesian analyses of ecological models for population analysis using WinBUGS run from within program R, bridging the gap between introductory- and advance-level texts
Marc Kéry (Author), Michael Schaub (Author)
9780123870209, Elsevier Science
Paperback / softback, published 11 October 2011
554 pages
22.9 x 15.1 x 3.4 cm, 0.9 kg
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.
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
Subject Areas: Applied ecology [RNC], Human geography [RGC], Ecological science, the Biosphere [PSAF], Biology, life sciences [PS], Probability & statistics [PBT]
