報告題目：Review of Distributed Statistical Inference
主講人：張日權教授 （華東師范大學）
時間：2021年5月16日（周日）10:30 a.m.
地點：北院卓遠樓305會議室
主辦單位：統(tǒng)計與數(shù)學學院
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.
主講人簡介：
張日權，華東師范大學， 統(tǒng)計學院院長
教育部統(tǒng)計與數(shù)據(jù)科學前沿理論及應用重點實驗室 主任
《應用概率統(tǒng)計》期刊 常務副主編
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)計學會數(shù)據(jù)科學與商業(yè)智能分會 副理事長
上海統(tǒng)計學會 副會長
主要研究方向：大數(shù)據(jù)統(tǒng)計，金融統(tǒng)計，非/半?yún)?shù)統(tǒng)計，超/高維數(shù)據(jù)分析，函數(shù)型數(shù)據(jù)分析、統(tǒng)計機器學習
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