The Bayesian Choice From Decision-Theoretic Foundations to Computational Implementation
Winner of the 2004 DeGroot Prize This paperback edition, a reprint of the 2001 edition, is a graduate-level textbook that introduces Bayesian statistics and decision theory. It covers both the basic ideas of statistical theory, and also some of the more modern and advanced topics of Bayesian statist...
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| Format: | eBook |
| Language: | Inglés |
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New York, NY :
Springer New York
2007.
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| Edition: | 2nd ed. 2007. |
| Series: | Springer Texts in Statistics,
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| Subjects: | |
| See on Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009461026806719 |
Table of Contents:
- Decision-Theoretic Foundations
- From Prior Information to Prior Distributions
- Bayesian Point Estimation
- Tests and Confidence Regions
- Bayesian Calculations
- Model Choice
- Admissibility and Complete Classes
- Invariance, Haar Measures, and Equivariant Estimators
- Hierarchical and Empirical Bayes Extensions
- A Defense of the Bayesian Choice.
