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.
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Book by Gamerman Dani
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Condizione: Good. Item in very good condition! Textbooks may not include supplemental items i.e. CDs, access codes etc. Codice articolo 00076745159
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Da: Second Story Books, ABAA, Rockville, MD, U.S.A.
Softcover. 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. Codice articolo 1365164
Quantità: 1 disponibili