Bayesian Population Analysis using WinBUGS book cover

Bayesian Population Analysis using WinBUGS

A hierarchical perspective

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.

Audience

Professional ecologists, upper-level graduate and graduate ecology students.

Paperback, 554 Pages

Published: September 2011

Imprint: Academic Press

ISBN: 978-0-12-387020-9

Contents

  • Preface

    Acknowledgements

    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

    Appendices

    References

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