Handbook of Markov Chain Monte Carlo

Handbook of Markov Chain Monte Carlo
Author: Steve Brooks
Publisher: CRC Press
Total Pages: 620
Release: 2011-05-10
Genre: Mathematics
ISBN: 1420079425


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Since their popularization in the 1990s, Markov chain Monte Carlo (MCMC) methods have revolutionized statistical computing and have had an especially profound impact on the practice of Bayesian statistics. Furthermore, MCMC methods have enabled the development and use of intricate models in an astonishing array of disciplines as diverse as fisherie


Handbook of Markov Chain Monte Carlo
Language: en
Pages: 620
Authors: Steve Brooks
Categories: Mathematics
Type: BOOK - Published: 2011-05-10 - Publisher: CRC Press

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Since their popularization in the 1990s, Markov chain Monte Carlo (MCMC) methods have revolutionized statistical computing and have had an especially profound i
Handbook of Markov Chain Monte Carlo
Language: en
Pages: 619
Authors: Steve Brooks
Categories: Mathematics
Type: BOOK - Published: 2011-05-10 - Publisher: Chapman and Hall/CRC

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Since their popularization in the 1990s, Markov chain Monte Carlo (MCMC) methods have revolutionized statistical computing and have had an especially profound i
Handbook of Monte Carlo Methods
Language: en
Pages: 627
Authors: Dirk P. Kroese
Categories: Mathematics
Type: BOOK - Published: 2013-06-06 - Publisher: John Wiley & Sons

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A comprehensive overview of Monte Carlo simulation that explores the latest topics, techniques, and real-world applications More and more of today’s numerical
Handbook in Monte Carlo Simulation
Language: en
Pages: 620
Authors: Paolo Brandimarte
Categories: Business & Economics
Type: BOOK - Published: 2014-06-20 - Publisher: John Wiley & Sons

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An accessible treatment of Monte Carlo methods, techniques, and applications in the field of finance and economics Providing readers with an in-depth and compre
Markov Chain Monte Carlo
Language: en
Pages: 342
Authors: Dani Gamerman
Categories: Mathematics
Type: BOOK - Published: 2006-05-10 - Publisher: CRC Press

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While there have been few theoretical contributions on the Markov Chain Monte Carlo (MCMC) methods in the past decade, current understanding and application of