Modern Bayesian statistics

Author: Wu Xizhi
Publisher:
Publish Date: 2000-10-01
Features: The Bayesian method is developed based on Bayes' theorem, providing a systematic approach to describing and solving statistical problems. The application of Bayes' theorem depends on how a statistician views the fundamental concept of "probability." These statisticians "advocate" probability as a measure of uncertainty, which will be recognized for any practical object; therefore, there is no reason why Bayes' theorem should not be applicable in any context. The Bayesian method is developed based on Bayes' theorem, providing a systematic approach to describing and solving statistical problems. The application of Bayes' theorem depends on how a statistician views the fundamental concept of "probability." These statisticians "advocate" probability as a measure of uncertainty, which will be recognized for any practical object; therefore, there is no reason why Bayes' theorem should not be applicable in any context. The main contents of this book include the Bayesian stance, prior distribution, posterior distribution, and Bayesian inference, common distributions, reliability problems, empirical Bayesian methods, applications of Bayesian statistics, and references.