Octavo; 1997, First CRC reprint 2002; VG-; Paperback; Spine, red with white and black print; Cover has slight edgewear, vendor label on rear, else clean and bright; Text block clean and tight; xiii, 245 pages, illustrated (b&w graphs). 1365164. FP New Rockville Stock.

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Bibliographic Details

Title

MARKOV CHAIN MONTE CARLO : STOCHASTIC SIMULATION FOR BAYESIAN INFERENCE (TEXTS IN STATISTICAL SCIENCE SERIES)

Publisher

Chapman & Hall/CRC, Boca Raton

Publication Date

2002

Language

English

ISBN 10

0412818205

ISBN 13

9780412818202

Binding

Softcover

Seller catalogs

Sciences, Math, Medicine, & Natural History

About this title

Synopsis

Bridging the gap between research and application, Markov Chain Monte Carlo: Stochastic Simulation for Bayesian Inference provides a concise, and integrated account of Markov chain Monte Carlo (MCMC) for performing Bayesian inference. This volume, which was developed from a short course taught by the author at a meeting of Brazilian statisticians and probabilists, retains the didactic character of the original course text. The self-contained text units make MCMC accessible to scientists in other disciplines as well as statisticians. It describes each component of the theory in detail and outlines related software, which is of particular benefit to applied scientists.

Review

..."a must for every research library, and should be given serious consideration for use as a graduate text" -Short Book Reviews of the ISI "nicely focused, elementary-level coveragemakes this book a suitable choice for an introductory course." -Journal of the ASA, March, 2000

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DC's Oldest Rare and Used Bookstore, Second Story Books operates two open shops in the Washington D.C. metropolitan area. We have an extensive internet presence, provide accredited appraisals member ASA, and have an in house book binder. For more information go to www.secondstorybooks.com

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