An Introduction to Bayesian Analysis: Theory and Methods

作者： J. K. Ghosh , Tapas Samanta , Mohan Delampady

DOI:

关键词: Mathematics 、 Bayesian inference 、 Bayesian linear regression 、 Statistical inference 、 Variable-order Bayesian network 、 Frequentist inference 、 Artificial intelligence 、 Bayes factor 、 Machine learning 、 Bayesian statistics 、 Bayesian average 、 Pattern recognition

摘要: Statistical Preliminaries.- Bayesian Inference and Decision Theory.- Utility, Prior, Robustness.- Large Sample Methods.- Choice of Priors for Low-dimensional Parameters.- Hypothesis Testing Model Selection.- Computations.- Some Common Problems in Inference.- High-dimensional Problems.- Applications.