Bayesian Methods
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.
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