Advanced Markov Chain Monte Carlo Methods: Learning from Past Samples - Wiley Series in Computational Statistics - Liang, Faming (Texas A&M University, USA) - Books - John Wiley & Sons Inc - 9780470748268 - August 23, 2010
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Liang, Faming (Texas A&M University, USA)
Advanced Markov Chain Monte Carlo Methods: Learning from Past Samples - Wiley Series in Computational Statistics

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* Presents the latest developments in Monte Carlo research. * Provides a toolkit for simulating complex systems using MCMC. * Introduces a wide range of algorithms including Gibbs sampler, Metropolis-Hastings and an overview of sequential Monte Carlo algorithms.

378 pages, Illustrations

Media Books     Hardcover Book   (Book with hard spine and cover)
Released August 23, 2010
ISBN13 9780470748268
Publishers John Wiley & Sons Inc
Pages 384
Dimensions 233 × 159 × 26 mm   ·   680 g
Language English  

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