Review of Distributed Statistical Inference

主题：Review of Distributed Statistical Inference
主要内容：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.
专家姓名：张日权
工作单位：华东师范大学
专长和学术成就：主持多项国家自然科学基金、教育部博士点基金、国家统计局重点项目等研究项目20多项；发表论文130余篇，SCI收录论文100余篇，由科学出版社出版专著1部，教材1部。 先后获得上海市育才奖，上海市自然科学奖三等奖，上海市教学成果一等奖。
专家简介：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
时间：2021-12-01 15:00:00
地点：经管楼335