报告题目：Review of Distributed Statistical Inference

主讲人：张日权教授 （华东师范大学）      

时间：2021年5月16日（周日）10:30 a.m.

地点：北院卓远楼305会议室      

主办单位：统计与数学学院

     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.

     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