Fortæl dine venner om denne vare:
Advanced Markov Chain Monte Carlo Methods: Learning from Past Samples - Wiley Series in Computational Statistics
Liang, Faming (Texas A&M University, USA)
Pris
€ 154,49
Bestilles fra fjernlager
Forventes klar til forsendelse 14. - 21. aug.
Tilføj til din iMusic ønskeseddel
Eller
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
| 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 |