学术报告:Review of Distributed Statistical Inference(分布式统计分析)

报告人:张日权教授  华东师范大学统计学院

时间:20214911

地点:数学与信息学院201报告厅

联系人:夏强  教授


报告摘要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.

 

报告人简介:

    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 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


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