主題：Review of Distributed Statistical Inference
主要內容：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.
專家姓名：張日權
工作單位：華東師范大學
專長和學術成就：主持多項國家自然科學基金、教育部博士點基金、國家統計局重點項目等研究項目20多項；發表論文130余篇，SCI收錄論文100余篇，由科學出版社出版專著1部，教材1部。 先后獲得上海市育才獎，上海市自然科學獎三等獎，上海市教學成果一等獎。
專家簡介：張日權，華東師范大學， 統計學院院長 教育部統計與數據科學前沿理論及應用重點實驗室 主任 《應用概率統計》期刊 常務副主編 中國現場統計研究會 大數據統計分會 理事長 中國商業統計學會數據科學與商業智能分會 副理事長 上海統計學會 副會長
時間：2021-12-01 15:00:00
地點：經管樓335