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learning from past samples

"Advanced Markov Chain Monte Carlo Methods" was published by Wiley & Sons, Incorporated, John in 2010 - New Jersey, the book is classified in bibliography genre and the language of the book is English.


“Advanced Markov Chain Monte Carlo Methods” Metadata:

  • Title: ➤  Advanced Markov Chain Monte Carlo Methods
  • Authors:
  • Language: English
  • Publisher: ➤  Wiley & Sons, Incorporated, John
  • Publish Date:
  • Publish Location: New Jersey
  • Genres: bibliography
  • Dewey Decimal Classification: 518/.282
  • Library of Congress Classification: QA298 .L53 2010

“Advanced Markov Chain Monte Carlo Methods” Subjects and Themes:

Edition Specifications:

  • Number of Pages: 1 online resource (379 p.)
  • Pagination: 380

Edition Identifiers:

AI-generated Review of “Advanced Markov Chain Monte Carlo Methods”:


"Advanced Markov Chain Monte Carlo Methods" Table Of Contents:

  • 1- Advanced Markov Chain Monte Carlo Methods; Contents; Preface; Acknowledgments; Publisher's Acknowledgments; 1 Bayesian Inference and Markov Chain Monte Carlo; 2 The Gibbs Sampler; 3 The Metropolis
  • 2- astings Algorithm; 4 Auxiliary Variable MCMC Methods; 5 Population
  • 3- ased MCMC Methods; 6 Dynamic Weighting; 7 Stochastic Approximation Monte Carlo; 8 Markov Chain Monte Carlo with Adaptive Proposals; References; Index

"Advanced Markov Chain Monte Carlo Methods" Description:

Harvard Library:

Markov Chain Monte Carlo (MCMC) methods are now an indispensable tool in scientific computing. This book discusses recent developments of MCMC methods with an emphasis on those making use of past sample information during simulations. The application examples are drawn from diverse fields such as bioinformatics, machine learning, social science, combinatorial optimization, and computational physics. Key Features:Expanded coverage of the stochastic approximation Monte Carlo and dynamic weighting algorithms that are essentially immune to local trap problems.A detailed discus

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