短期课程

题目：Bayesian Modeling and Data Analysis

报告人：Professor Xinyuan Song,  Chinese University of Hong Kong

摘要：

This short course offers a comprehensive introduction to Bayesian analysis, emphasizing both foundational concepts and cutting-edge modeling techniques for real-world data analysis. Designed for researchers and practitioners, the course is structured into three chapters:

1. Introduction to Bayesian Analysis – Core principles, prior/posterior

distributions, and inference.

2. Bayesian Modeling for Mixed Data – Techniques for handling datasets with both continuous and categorical variables.

3. Bayesian Modeling for Heterogeneous Data – Approaches to modeling

data with varying structures or sources.

Participants will gain both theoretical understanding and practical skills to apply Bayesian methods to complex data challenges.

报告人简介：Xinyuan Song is a professor at the Department of Statistics at the Chinese University of Hong Kong. She is a Changjiang Scholar Chair Professor awarded by the Education Ministry of China, an IMS Fellow, and an ISI elected member. Her research interests are latent variable models, Bayesian methods, longitudinal data analysis, survival analysis, and statistical computing. She currently serves as an associate editor for multiple international journals in Statistics and Psychometrics, including JASA-A&CS, JRSSA, Statistics in Medicine, Electronic Journal of Statistics, Statistics and Its Interface, CSDA, Psychometrika, and Structural Equation Modeling: A Multidisciplinary Journal, and also served as an associate editor for Biometrics (2014-16) and The Canadian Journal of Statistics (2019-21).

报告时间：

2025年8月 5日（星期二）  9：00-11：30；

2025年8月 6日（星期三）  9：00-11：30

2025年8月 7日（星期四） 9：00-11：30

报告地点：腾讯会议：957-8566-2023

联系人：胡涛