報告人：張日權，華東師範大學，統計必一
時間：2021年11月12日下午13：30-14：30
地點：必一体育平台2樓212會議室
題 目：Review of Distributed Statistical Inference（分布式統計分析）
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.
簡 介：
張日權，華東師範大學， 統計必一院長
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
主要研究方向：大數據統計，金融統計，非/半參數統計，超/高維數據分析，函數型數據分析、統計機器學習
