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Markov Chain Monte Carlo

By: Brazil) Gamerman Dani (University Federal Do Rio de Janeiro (Author) , USA) Lopes Illinois Hedibert F. (University of Chicago (Author) , USA) Tanner Illinois Evanston Martin A. (Northwestern University (Author)

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Ksh 22,800.00

Format: Hardback or Cased Book

ISBN-13: 9781584885870

Publisher: Taylor & Francis Inc

Publication Date: May 10th, 2006

Weight: 648 grams

Dimension: 23.90 x 16.20 x 2.30 cms

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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.

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