报告题目：Review of Distributed Statistical Inference（分布式统计分析）

报 告 人：张日权 教授

报告时间：2021年5月18日（周二）上午9:00-12:00

报告平台：腾讯会议 ID： 390 376 545

报告摘要：The rapid emergence of massive datasets in various fields poses a serious challenge to traditional statistical methods. Meanwhile, it provides opportunities for researchers to develop novel algorithms. Inspired by the idea of divide-and-conquer, various distributed frameworks for statistical estimation and inference have been proposed. They were developed to deal with large-scale statistical optimization problems. This report aims to provide a comprehensive review for related literature. It includes parametric models, nonparametric models, and other frequently used models. Their key ideas and theoretical properties are summarized. The trade-off between communication cost and estimate precision together with other concerns are discussed.

报告人简介：张日权，教授、博士生导师，华东师范大学统计学院院长，教育部统计与数据科学前沿理论及应用重点实验室主任，中国现场统计研究会大数据统计分会理事长，《应用概率统计》期刊常务副主编，上海市统计学会副会长。研究方向有：大数据统计、金融统计、非/半参数统计、超/高维数据分析、函数型数据分析、统计机器学习。