Advanced Markov Chain Monte Carlo Methods: Learning from Past Samples - Wiley Series in Computational Statistics - Liang, Faming (Texas A&M University, USA) - Bøger - John Wiley & Sons Inc - 9780470748268 - 16. juli 2010
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Advanced Markov Chain Monte Carlo Methods: Learning from Past Samples - Wiley Series in Computational Statistics

Liang, Faming (Texas A&M University, USA)

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Advanced Markov Chain Monte Carlo Methods: Learning from Past Samples - Wiley Series in Computational Statistics

* 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

Medie Bøger     Hardcover bog   (Bog med hård ryg og stift omslag)
Udgivet 16. juli 2010
ISBN13 9780470748268
Forlag John Wiley & Sons Inc
Antal sider 384
Mål 233 × 159 × 26 mm   ·   724 g
Sprog Engelsk