讲座题目:Review of Distributed Statistical Inference(分布式统计分析)
主讲人:张日权
讲座时间:11月3日(周三)10:00-11:00
讲座地点:
线下:综合楼644会议室
线上:点击链接入会,或添加至会议列表:https://meeting.tencent.com/dm/VcAVx3E8uYtk
会议 ID:670 252 281
主讲人简介:
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 大数据统计分会 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
讲座摘要:
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.