Advanced Markov Chain Monte Carlo Methods
Learning from Past Samples
* 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.
Specificaties
| ISBN/EAN | 9780470748268 |
| Auteur | Faming (Texas A&M University Liang |
| Uitgever | Van Ditmar Boekenimport B.V. |
| Taal | Engels |
| Uitvoering | Gebonden in harde band |
| Pagina's | 384 |
| Lengte | 234.0 mm |
| Breedte | 160.0 mm |