Dani Gamerman (Author), Hedibert F. Lopes (Author), Chris Chatfield (Series Editor), Jim Zidek (Series Editor), Bradley.
Markov Chain Monte Carlo: Stochastic Simulation for Bayesian Inference, Second Edition (Chapman & Hall/CRC Texts in Statistical Science)
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Review "The new edition of the book, with its updated and additional materials, is still a great choice as at textbook for Bayesian computation and inference courses in a graduate program in computational and applied statistics. It will also be considered as one of the best textbooks for a Bayesian computational course to nonstatisticians, including social scientists and engineers." – Debajyoti Sinha, Florida State University, in JASA , March 2009 “The second edition of this book is well written and builds on the first edition … The addition of an associated website is a valuable resource that contains many R scripts, allowing readers to quickly and easily test different approaches on the…
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- Dani Gamerman (Author), Hedibert F. Lopes (Author), Chris Chatfield (Series Editor), Jim Zidek (Series Editor), Bradley.
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