Monte Carlo Methods in Bayesian Computation /

This book examines advanced Bayesian computational methods. It presents methods for sampling from posterior distributions and discusses how to compute posterior quantities of interest using Markov chain Monte Carlo (MCMC) samples. This book examines each of these issues in detail and heavily focuses...

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Bibliographic Details
Main Author: Chen, Minghui
Corporate Author: SpringerLink (Online service)
Other Authors: Shao, Qi-Man, Ibrahim, Joseph G.
Format: eBook
Published: New York, NY : Springer New York, 2000.
Series:Springer series in statistics.
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Call Number: QA276-280
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QA276-280 Available