Bayesian statistics

Author: Mao Shusong
Publisher:
Publish Date: 1999-10-01
Features: This book consists of six chapters and can be divided into two parts. The first three chapters introduce Bayesian inference methods around the topic of prior distribution. The last three chapters focus on Bayesian decision-making methods around the concept of loss functions. Reading these contents only requires basic knowledge of probability and statistics. The book aims to use vivid and interesting examples to illustrate the fundamental ideas and methods of Bayesian statistics, striving to spark readers' interest in Bayesian statistics and inspire them to use Bayesian methods to understand and solve real-world problems. This, in turn, enriches and develops Bayesian statistics. If students' interest is piqued and their desire is ignited, then the purpose of teaching this course is largely achieved.