A first course in bayesian statistical methods
This book provides a compact self-contained introduction to the theory and application of Bayesian statistical methods. The book is accessible to readers having a basic familiarity with probability, yet allows more advanced readers to quickly grasp the principles underlying Bayesian theory and metho...
Guardat en:
| Autor principal: | |
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| Format: | Livre numérique |
| Idioma: | Anglais |
| Publicat: |
New York, NY :
Springer New York : Imprint: Springer
[20..].
Cham : Springer Nature |
| Edició: | 1st ed. 2009. |
| Col·lecció: | Springer Texts in Statistics
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| Matèries: | |
| Accés en línia: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
Description d'après consultation du 13 décembre 2011 Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • A first course in Bayesian statistical methods, Peter D. Hoff, 2009, New York, Springer, 1 vol. (IX-270 p.), Springer texts in statistics, 978-0-387-92299-7 |
Taula de continguts:
- and examples Belief, probability and exchangeability One-parameter models Monte Carlo approximation The normal model Posterior approximation with the Gibbs sampler The multivariate normal model Group comparisons and hierarchical modeling Linear regression Nonconjugate priors and Metropolis-Hastings algorithms Linear and generalized linear mixed effects models Latent variable methods for ordinal data