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Can I read Advanced Markov Chain Monte Carlo Methods: Learning from Past Samples (Wiley Series in Computational Statistics Book 714) on EtoBox?
Advanced Markov Chain Monte Carlo Methods: Learning from Past Samples (Wiley Series in Computational Statistics Book 714) by Faming Liang; Chuanhai Liu; Raymond J. Carroll is a mathematics available to read on EtoBox.
What is Advanced Markov Chain Monte Carlo Methods: Learning from Past Samples (Wiley Series in Computational Statistics Book 714) about?
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. <p><b>Key Features:</b></p> <ul> <li>Expanded coverage of the stochastic approximation Monte Carl
Who reads Advanced Markov Chain Monte Carlo Methods: Learning from Past Samples (Wiley Series in Computational Statistics Book 714)?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Faming Liang; Chuanhai Liu; Raymond J. Carroll
- Publisher
- John Wiley & Sons Ltd
- Published
- 2010
- Language
- EN
- ISBN
- 9781282661561
- Category
- mathematics
- Subjects
- Mathematics, Stochastic Processes, Stem
- Updated
- 2026-03-25
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