报告人：陈夏教授

报告时间：2023-11-14（星期二）10：30-11：30

报告地点：数学楼2-1

 #腾讯会议：790-578-592

题目：Bayesian jackknife empirical likelihood with complex surveys

摘要：This work focuses on the application of the Bayesian jackknife empirical likelihood method to survey data with general unequal probability sampling designs. We examine the parameters characterized by U-statistics and establish the asymptotic distribution of the Bayesian jackknife pseudo-empirical likelihood ratio statistic with a non-informative prior. We also investigate the impact of auxiliary information, as well as the use of design weights or calibration weights. Some numerical analysis evaluates the effectiveness of the Bayesian jackknife pseudo-empirical likelihood ratio confidence intervals. Our results show that the proposed method exhibits superior performance compared to approaches relying on the jackknife pseudo-empirical likelihood, effectively addressing its limitations.

个人简介：陈夏，陕西师范大学数学与统计学院副院长、教授、博士生导师。武汉大学概率论与数理统计专业博士，北京师范大学统计学博士后。兼任陕西省统计学学会副理事长和中国现场统计研究会多个分会的常务理事或理事。主要从事高维数据统计分析和概率极限理论方面的研究。在国内外统计学专业学术期刊发表论文40余篇，先后承担国家自然科学基金重点项目子课题、国家自然科学基金、教育部人文社科基金和陕西省自然科学基金等项目，在科学出版社出版专著1部、教材1部，获陕西省学位与研究生教育成果奖一等奖、陕西省高等教育优秀教材一等奖和陕西高校科学技术奖二等奖各1项。