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Monte Carlo Methods in Bayesian Computation - Chen, Ming-Hui, and Shao, Qi-Man, and Ibrahim, Joseph G
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Sampling from the posterior distribution and computing posterior quanti ties of interest using Markov chain Monte Carlo (MCMC) samples are two major challenges involved in advanced Bayesian computation. This book examines each of these issues in detail and focuses heavily on comput ing various posterior quantities of interest from a given MCMC sample. Several topics are addressed, including techniques for MCMC sampling, Monte Carlo (MC) methods for estimation of posterior summaries, improv ing simulation accuracy, ...

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Monte Carlo Methods in Bayesian Computation 2021, Springer

ISBN-13: 9781461212775

Trade paperback

Monte Carlo Methods in Bayesian Computation 2012, Springer, New York, NY

ISBN-13: 9781461270744

Trade paperback

Monte Carlo Methods in Bayesian Computation 2000, Springer, New York, NY

ISBN-13: 9780387989358

2000 edition

Hardcover