An Introduction to Bayesian Analysis Theory and Methods /

• Main Authors: Ghosh, Jayanta K. (Author), Delampady, Mohan (Author), Samanta, Tapas (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: New York, NY : Springer New York, 2006.
• Series: Springer Texts in Statistics,
• Subjects: Statistics.; Statistical 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...

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.