"贝叶斯统计学入门：理论、实践和互动元素"

A Student’s Guide to Bayesian Statistics is a book that aims to provide a more friendly introduction to Bayesian analysis than other existing texts. The book strives to minimize mathematical calculations and instead focus on the intuition behind the theory whenever new concepts are introduced. However, this does not mean sacrificing content for simplicity. The goal is to cover all the necessary topics from the basics to advanced subjects required for applied research. In essence, this book seeks to fill the gaps in the existing literature. To aid readers, a variety of interactive elements have been developed that can be accessed through the book's website. Additionally, example code is provided for readers to read and, if they wish, run themselves. Videos are also used to complement key ideas, presenting them from different angles and with various examples. At the end of each chapter, there are sets of questions for students to accumulate practical experience in Bayesian analysis. Whenever appropriate, these question sets will be supplemented with video materials. The author of A Student’s Guide to Bayesian Statistics is Ben Lambert, and the book is published by SAGE Publications. The book addresses the need for a more accessible introduction to Bayesian analysis and covers a wide range of topics that are relevant for students and researchers alike. Overall, this book aims to provide a comprehensive and intuitive understanding of Bayesian statistics, offering a valuable resource for those interested in this field.