King, Ruth, 1977-

Bayesian analysis for population ecology / Ruth King [and others]. - xiii, 442 pages : illustrations ; 25 cm. - Interdisciplinary statistics series . - Interdisciplinary statistics. .

Includes bibliographical references and index.

Introduction to Statistical Analysis of Ecological Data -- Introduction -- Population Ecology -- Conservation and Management -- Data and Models -- Bayesian and Classical Statistical Inference -- Senescence -- Summary -- Further Reading -- Exercises -- Data, Models and Likelihoods -- Introduction -- Population Data -- Modelling Survival -- Multi-Site, Multi-State and Movement Data -- Covariates and Large Data Sets -- Combining Information -- Modelling Productivity -- Parameter Redundancy -- Summary -- Further Reading -- Exercises -- Classical Inference Based on Likelihood -- Introduction -- Simple Likelihoods -- Model Selection -- Maximising Log-Likelihoods -- Confidence Regions -- Computer Packages -- Summary -- Further Reading -- Exercises -- Bayesian Techniques and Tools -- Bayesian Inference -- Introduction -- Prior Selection and Elicitation -- Prior Sensitivity Analyses -- Summarising Posterior Distributions -- Directed Acyclic Graphs -- Summary -- Further Reading -- Exercises -- Markov Chain Monte Carlo -- Monte Carlo Integration -- Markov Chains -- Markov Chain Monte Carlo -- Implementing MCMC -- Summary -- Further Reading -- Exercises -- Model Discrimination -- Introduction -- Bayesian Model Discrimination -- Estimating Posterior Model Probabilities -- Prior Sensitivity -- Model Averaging -- MarginalPosterior Distributions -- Assessing Temporal /Age Dependence -- Improving and Checking Performance -- Additional Computational Techniques -- Summary -- Further Reading -- Exercises -- MCMC and RJMCMC Computer Programs -- R Code (MCMC) for Dipper Data -- WinBUGS Code (MCMC) for Dipper Data -- MCMC within the Computer Package MARK -- R code (RJMCMC) for Model Uncertainty -- WinBUGS Code (RJMCMC) for Model Uncertainty -- Summary -- Further Reading -- Exercises -- Ecological Applications -- Covariates, Missing Values and Random Effects -- Introduction -- Covariates -- Missing Values -- Assessing Covariate Dependence -- Random Effects -- Prediction -- Splines -- Summary -- Further Reading -- Multi-State Models -- Introduction -- Missing Covariate /Auxiliary Variable Approach -- Model Discrimination and Averaging -- Summary -- Further Reading -- State-Space Modelling -- Introduction -- Leslie Matrix-Based Models -- Non-Leslie-Based Models -- Capture-Recapture Data -- Summary -- Further Reading -- Closed Populations -- Introduction -- Models and Notation -- Model Fitting -- Model Discrimination and Averaging -- Line Transects -- Summary -- Further Reading -- Common Distributions -- Discrete Distributions -- Continuous Distributions -- Programming in R -- Getting Started in R -- Useful R Commands -- Writing (RJ)MCMC Functions -- R Code for Model C /C -- R Code for White Stork Covariate Analysis -- Summary -- Programming in WinBUGS -- WinBUGS -- Calling WinBUGS from R -- Summary. Part I. 1. 1.1. 1.2. 1.3. 1.4. 1.5. 1.6. 1.7. 1.8. 2. 2.1. 2.2. 2.3. 2.4. 2.5. 2.6. 2.7. 2.8. 2.9. 2.10. 2.11. 3. 3.1. 3.2. 3.3. 3.4. 3.5. 3.6. 3.7. 3.8. 3.9. Part II. 4. 4.1. 4.2. 4.3. 4.4. 4.5. 4.6. 4.7. 4.8. 5. 5.1. 5.2. 5.3. 5.4. 5.5. 5.6. 5.7. 6. 6.1. 6.2. 6.3. 6.4. 6.5. 6.6. 6.7. 6.8. 6.9. 6.10. 6.11. 6.12. 7. 7.1. 7.2. 7.3. 7.4. 7.5. 7.6. 7.7. 7.8. Part III. 8. 8.1. 8.2. 8.3. 8.4. 8.5. 8.6. 8.7. 8.8. 8.9. 9. 9.1. 9.2. 9.3. 9.4. 9.5. 10. 10.1. 10.2. 10.3. 10.4. 10.5. 10.6. 11. 11.1. 11.2. 11.3. 11.4. 11.5. 11.6. 11.7. Appendix A. Appendix A.1. Appendix A.2. Appendix B. Appendix B.1. Appendix B.2. Appendix B.3. Appendix B.4. Appendix B.5. Appendix B.6. Appendix C. Appendix C.1. Appendix C.2. Appendix C.3.

ISBN: 1439811873 9781439811870

LCCN: 2009026637

Subjects--Topical Terms:
Population biology--Mathematics
Bayesian field theory

LC Class. No.: QH352 / .B38 2010

Dewey Class. No.: 577.8801519542