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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...
| Call Number: | Libro Electrónico |
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| Main Authors: | , , |
| Corporate Author: | |
| Format: | Electronic eBook |
| Language: | Inglés |
| Published: |
New York, NY :
Springer New York : Imprint: Springer,
2006.
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| Edition: | 1st ed. 2006. |
| Series: | Springer Texts in Statistics,
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| Subjects: | |
| Online Access: | Texto Completo |
Table of Contents:
- 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.