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Statistics in the Social and Behavioral Sciences
Bayesian Methods: A Social and Behavioral Sciences Approach, Third Edition
This updated, bestselling book continues to be one of the only Bayesian statistics texts designed for social scientists. Incorporating new research and additional material, the third edition presents state-of-the-art guidance on Bayesian statistical computing. It emphasizes Markov chain Monte Carlo (MCMC) and computation with R and WinBUGS. Along with doubling the number of exercises, this edition covers time series, decision theory, nonparametric models, and mixture models. A solutions manual is available with qualifying course adoption.
722 pages, Hardcover
First published May 29, 2002
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February 24, 2014
One of the best books on Bayesian modeling that I've found. I especially like that he goes into a lot of detail on MCMC-type estimation as I've got an interest in numerical methods. Most general Bayesian books go into it to some detail but Gill seems to really enjoy it.
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