报告人：张日权，华东师范大学，统计学院
时间：2021年11月12日下午13：30-14：30
地点：bat365在线平台2楼212会议室
题 目：Review of Distributed Statistical Inference（分布式统计分析）
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.
简 介：
张日权，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
《应用概率统计》期刊常务副主编
中国现场统计研究会大数据统计分会理事长
中国商业统计学会数据科学与商业智能分会副理事长
上海统计学会副会长
主要研究方向：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
