Capa do artigo Markov Chain Monte Carlo

Markov Chain Monte Carlo

Stochastic Simulation For Bayesian Inference, Second Edition

by Hedibert F. (University Of Chicago, Illinois, Usa) Lopes e Dani (University Federal Do Rio De Janeiro, Brazil) Gamerman
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language: english
Publisher: TAYLOR & FRANCIS INC, May of 2006 ‧
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Incorporating changes in theory and highlighting various applications, this book presents a comprehensive introduction to the methods of Markov Chain Monte Carlo (MCMC) simulation technique. It incorporates the developments in MCMC, including reversible jump, slice sampling, bridge sampling, path sampling, multiple-try, and delayed rejection.

Markov Chain Monte Carlo

Stochastic Simulation For Bayesian Inference, Second Edition

by Hedibert F. (University Of Chicago, Illinois, Usa) Lopes e Dani (University Federal Do Rio De Janeiro, Brazil) Gamerman

Property Description
ISBN: 9781584885870
Publisher: TAYLOR & FRANCIS INC
Release Date: May of 2006
Language: English
Cover: Hardcover
Pages: 342
Format: Book
Collection: Chapman & Hall/Crc Texts In Statistical Science
Categories: Books in English > Science > Mathematics
EAN: 9781584885870

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