主題：Review of Distributed Statistical Inference
主要內(nèi)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(quán)
工作單位：華東師范大學(xué)
專長和學(xué)術(shù)成就：主持多項國家自然科學(xué)基金、教育部博士點基金、國家統(tǒng)計局重點項目等研究項目20多項；發(fā)表論文130余篇，SCI收錄論文100余篇，由科學(xué)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(xué)獎三等獎，上海市教學(xué)成果一等獎。
專家簡介：張日權(quán)，華東師范大學(xué)， 統(tǒng)計學(xué)院院長 教育部統(tǒng)計與數(shù)據(jù)科學(xué)前沿理論及應(yīng)用重點實驗室 主任 《應(yīng)用概率統(tǒng)計》期刊 常務(wù)副主編 中國現(xiàn)場統(tǒng)計研究會 大數(shù)據(jù)統(tǒng)計分會 理事長 中國商業(yè)統(tǒng)計學(xué)會數(shù)據(jù)科學(xué)與商業(yè)智能分會 副理事長 上海統(tǒng)計學(xué)會 副會長
時間：2021-12-01 15:00:00
地點：經(jīng)管樓335