讲座题目：Review of Distributed Statistical Inference（分布式统计分析）

主讲人：张日权

讲座时间：11月3日（周三）10:00-11：00

讲座地点：

线下：综合楼644会议室

线上：点击链接入会，或添加至会议列表：https://meeting.tencent.com/dm/VcAVx3E8uYtk
会议 ID：670 252 281

主讲人简介：

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

讲座摘要：

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.