Bayesian Core : A Practical Approach to Computational Bayesian Statistics
This Bayesian modeling book is intended for practitioners and applied statisticians looking for a self-contained entry to computational Bayesian statistics. Focusing on standard statistical models and backed up by discussed real datasets available from the book website, it provides an operational me...
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| Hlavní autoři: | , |
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| Médium: | Livre numérique |
| Jazyk: | Anglais |
| Vydáno: |
New York, NY :
Springer New York
[20..].
Cham : Springer Nature |
| Vydání: | 1st ed. 2007. |
| Edice: | Springer Texts in Statistics
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| Témata: | |
| On-line přístup: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Poznámka: |
L'impression du document génère 267 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 core, a practical approach to computational Bayesian statistics, Jean-Michel Marin, Christian P. Robert, New York, Springer, 2007, 1 volume (xiii-255 pages), Springer texts in statistics, 978-0-387-38979-0 • Bayesian core, A Practical Approach to Computational Bayesian Statistics, Jean-Michel Marin, Christian P. Robert, New York, Springer, 2010, 1 vol. (XIII-255 p.), Springer texts in statistics, 978-1-4419-2286-1 |