An introduction to Bayesian analysis : theory and methods / Jayanta K. Ghosh, Mohan Delampady, Tapas Samanta.

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Bibliographic Details
Published:	New York : Springer, c2006.
Online Access:	Table of contents only
Main Author:	Ghosh, J. K.
Other Authors:	Delampady, Mohan Samanta, Tapas
Series:	Springer texts in statistics
Subjects:	Bayesian statistical decision theory.
Format:	Book

An introduction to Bayesian analysis : theory and methods /

Table of Contents:

1. Statistical preliminaries
2. Bayesian inference and decision theory
3. Utility, prior, and Bayesian robustness
4. Large sample methods
5. Choice of priors for low-dimensional parameters
6. Hypothesis testing and model selection
7. Bayesian computations
8. Some common problems in inference
9. High-dimensional problems
10. Some applications
A. Common statistical densities
B. Birnbaum's theorem on likelihood principle
C. Coherence
D. Microarray
E. Bayes sufficiency.