Bayesian Computation with R
There has been a dramatic growth in the development and application of Bayesian inferential methods. Some of this growth is due to the availability of powerful simulation-based algorithms to summarize posterior distributions. There has been also a growing interest in the use of the system R for stat...
Gorde:
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| Beste egile batzuk: | |
| Formatua: | Livre numérique |
| Hizkuntza: | Anglais |
| Argitaratua: |
New York, NY :
Springer New York
[20..].
Cham : Springer Nature |
| Edizioa: | 1st ed. 2007. |
| Saila: | Use R!
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| Gaiak: | |
| Sarrera elektronikoa: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Oharra: |
L'impression du document génère 278 p. Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) Numérisation de l'édition de New York : Springer, cop. 2007 |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Bayesian computation with R, Jim Albert, New York, Springer, 2007, 1 vol. (X-267 p.), Use R!, 978-0-387-71384-7 • Bayesian computation with R, Jim Albert, New York, Springer, 2007, 1 vol. (X-267 p.), Use R!, 978-0-387-71384-7 • Robust controller design using normalized coprime factor plant design, D.C. McFarlane, K. Glover, Berlin, Springer-Verlag, 1990, 1 vol. (X-206 p.), Lecture notes in control and information sciences, 0-387-51851-7 |
Aurkibidea:
- An Introduction to R to Bayesian Thinking Single-Parameter Models Multiparameter Models to Bayesian Computation Markov Chain Monte Carlo Methods Hierarchical Modeling Model Comparison Regression Models Gibbs Sampling Using R to Interface with WinBUGS