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An Introduction to Bayesian analysis : theory and methods
This is a graduate-level textbook on Bayesian analysis blending modern Bayesian theory, methods, and applications. Starting from basic statistics, undergraduate calculus and linear algebra, ideas of both subjective and objective Bayesian analysis are developed to a level where real-life data can be...
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| Auteurs principaux : | , , |
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| Format : | Livre |
| Langue : | anglais |
| Titre complet : | An Introduction to Bayesian analysis : theory and methods / edited by Jayanta K. Ghosh, Mohan Delampady, Tapas Samanta |
| Publié : |
New York, NY :
Springer New York
, 2006 Springer e-books |
| Collection : | Springer texts in statistics |
| Titre de l'ensemble : | Springer texts in statistics |
| Disponibilité : | L'accès complet au document est réservé aux usagers des établissements qui en ont fait l'acquisition |
| Contenu : | Statistical Preliminaries. Bayesian Inference and Decision Theory. Utility, Prior, and Bayesian Robustness. Large Sample Methods. Choice of Priors for Low-dimensional Parameters. Hypothesis Testing and Model Selection. Bayesian Computations. Some Common Problems in Inference. High-dimensional Problems. Some Applications |
| Sujets : | |
| Documents associés : | Autre format:
An Introduction to bayesian analysis |
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