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Monte Carlo Methods in Bayesian Computation - Springer Series in Statistics Ming-Hui Chen 1st ed. 2000. Corr. 2nd printing 2001 edition
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Monte Carlo Methods in Bayesian Computation - Springer Series in Statistics
Ming-Hui Chen
Bayesian statistics is one of the active research areas in statistics. This book provides the theoretical background behind the important development, Markov chain Monte Carlos methods.
400 pages, biography
| Media | Bøker Innbunden bok (Bok med hard rygg og stivt omslag) |
| Utgitt | 21. januar 2000 |
| Opprinelig utgitt | 2001 |
| ISBN13 | 9780387989358 |
| Utgivere | Springer-Verlag New York Inc. |
| Antall sider | 387 |
| Mål | 155 × 235 × 23 mm · 716 g |
| Språk | Engelsk |
![Cover for Ming-hui Chen · Frontiers of Statistical Decision Making and Bayesian Analysis: In Honor of James O. Berger (Pocketbok) [2010 edition] (2014)](https://imusic.b-cdn.net/images/item/original/017/9781489992017.jpg?ming-hui-chen-2014-frontiers-of-statistical-decision-making-and-bayesian-analysis-in-honor-of-james-o-berger-pocketbok&class=scaled&v=1604040962)
![Cover for Ming-hui Chen · Frontiers of Statistical Decision Making and Bayesian Analysis: In Honor of James O. Berger (Innbunden bok) [2010 edition] (2010)](https://imusic.b-cdn.net/images/item/original/439/9781441969439.jpg?ming-hui-chen-2010-frontiers-of-statistical-decision-making-and-bayesian-analysis-in-honor-of-james-o-berger-innbunden-bok&class=scaled&v=1603947885)