Applied Bayesian statistics : with R and OpenBUGS examples
This book is based on over a dozen years teaching a Bayesian Statistics course. The material presented here has been used by students of different levels and disciplines, including advanced undergraduates studying Mathematics and Statistics and students in graduate programs in Statistics, Biostatis...
Enregistré dans:
| Auteur principal: | |
|---|---|
| Format: | Livre numérique |
| Langue: | Anglais |
| Publié: |
New York, NY :
Springer New York
[20..].
Cham : Springer Nature |
| Édition: | 1st ed. 2013. |
| Collection: | Springer Texts in Statistics
98 |
| Accès en ligne: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Note: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Applied Bayesian statistics, with R and OpenBUGS examples, Mary Kathryn Cowles, New York, Springer, 2013, 1 vol. (xiv-232 p.), Springer texts in statistics, 978-1-4614-5695-7 • Applied Bayesian statistics, with R and OpenBUGS examples, Mary Kathryn Cowles, New York, Springer, 2013, 1 vol. (xiv-232 p.), Springer texts in statistics, 978-1-4614-5695-7 • Applied Bayesian Statistics, Texte imprimé, 9781461456971 • Applied Bayesian Statistics, Texte imprimé, 9781489997043 |
Table des matières:
- What is Bayesian statistics? Review of probability Introduction to one-parameter models Inference for a population proportion Special considerations in Bayesian inference Other one-parameter models and their conjugate priors More realism please: Introduction to multiparameter models Fitting more complex Bayesian models: Markov chain Monte Carlo Hierarchical models, and more on convergence assessment Regression and hierarchical regression models Model Comparison, Model Checking, and Hypothesis Testing References Index