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Markov Chain Monte Carlo: Stochastic Simulation for Bayesian Inference, Second Edition - Chapman & Hall / CRC Texts in Statistical Science Dani Gamerman 2.º edición
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Markov Chain Monte Carlo: Stochastic Simulation for Bayesian Inference, Second Edition - Chapman & Hall / CRC Texts in Statistical Science
Dani Gamerman
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.
344 pages, 44 black & white illustrations, 15 black & white tables
| Medios de comunicación | Libros Hardcover Book (Libro con lomo y cubierta duros) |
| Publicado | 10 de mayo de 2006 |
| ISBN13 | 9781584885870 |
| Editores | Taylor & Francis Inc |
| Páginas | 342 |
| Dimensiones | 162 × 239 × 23 mm · 648 g |
| Lengua | Inglés |
| Editor de series | Carlin, Bradley. P. (University of Minnesota, Minneapolis, Minnesota, USA) |
| Editor de series | Chatfield, Chris (University of Bath, UK) |
| Editor de series | Tanner, Martin A. (Northwestern University, Evanston, Illinois, USA) |
| Editor de series | Zidek, Jim (University of British Columbia, Vancouver, Canada) |
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