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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
Liang, Faming (Texas A&M University, USA)
* 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 | Bøker Innbunden bok (Bok med hard rygg og stivt omslag) |
| Utgitt | 16. juli 2010 |
| ISBN13 | 9780470748268 |
| Utgivere | John Wiley & Sons Inc |
| Antall sider | 384 |
| Mål | 233 × 159 × 26 mm · 724 g |
| Språk | Engelsk |