TY - BOOK AU - Gill,Jeff TI - Bayesian methods: a social and behavioral sciences approach T2 - Statistics in the social and behavioral sciences series SN - 9781439862483 (hardcover : alk. paper) U1 - 000SA.161 23 PY - 2015/// CY - Boca Raton : PB - CRC Press KW - Bayesian statistical decision theory KW - Social sciences KW - Statistical methods N1 - Includes bibliographical references and index; 1. Background and introduction-- 2. Specifying Bayesian models-- 3. The normal and student's-t models-- 4. The Bayesian prior-- 5. The Bayesian linear model-- 6. Assessing model quality-- 7. Bayesian hypothesis testing and the Bayes factor-- 8. Bayesian decision theory-- 9. Monte Carlo and related iterative methods-- 10. Basic of Markov Chain Monte Carlo-- 11. Implementing Bayesian models with Markov Chain Monte Carlo-- 12. Bayesian Hierarchical Models-- 13. Some Markov chain Monte Carlo theory-- 14. Utilitarian Markov Chain Monte Carlo-- 15. Markov Chain Monte Carlo extensions-- Appendix A. Generalized linear model review-- Appendix B. common probability distributions-- References-- Author index-- Subject index N2 - Now that Bayesian modeling has become standard, MCMC is well understood and trusted, and computing power continues to increase, Bayesian Methods: A Social and Behavioral Sciences Approach, Third Edition focuses more on implementation details of the procedures and less on justifying procedures. The expanded examples reflect this updated approach ER -