Markov Chain Monte Carlo
Stochastic Simulation for Bayesian Inference, Second Edition
Incorporating changes in theory and highlighting various applications, this book presents a comprehensive introduction to the methods of Markov Chain Monte Carlo (MCMC) simulation technique. It incorporates the developments in MCMC, including reversible jump, slice sampling, bridge sampling, path sampling, multiple-try, and delayed rejection.
Specificaties
| ISBN/EAN | 9781584885870 |
| Auteur | Gamerman, Dani (University Federal Do Rio de Janeiro, Brazil) |
| Uitgever | Van Ditmar Boekenimport B.V. |
| Taal | Engels |
| Uitvoering | Gebonden in harde band |
| Pagina's | 342 |
| Lengte | 238.0 mm |
| Breedte | 155.0 mm |