Title: Why Do We Need Uncertain Statistics?
Time：2022/10/29 10:30-11:30
Speaker：Waichon Lio
Tencent meeting ID: 810-824-851.
Abstract: Uncertain statistics is a set of mathematical techniques for collecting, analyzing and interpreting data by uncertainty theory. The study of uncertain statistics was started by professor Baoding Liu in 2010 and followed by many researchers. Nowadays, uncertain statistics has achieved fruitful results in both theory and practice. As an important application of uncertain statistics, uncertain regression analysis is a set of statistical techniques that use uncertainty theory to explore the relationship between explanatory variables and response variables. In this talk, a preface of uncertain statistics and its application in regression analysis will be reviewed.
报告人简介：廖伟骏于2016年在清华大学数学科学系获学士学位，2018年在清华大学数学科学系获硕士学位，2021年在清华大学数学科学系获博士学位，现任教于北京航空航天大学可靠性与系统工程学院系统工程系，研究方向主要包括确信可靠性理论和不确定理论，目前在IEEE Transactions on Fuzzy Systems, Fuzzy Optimization and Decision Making以及Applied Mathematics and Computation等期刊发表SCI检索论文22篇，Google Scholar引用320次，Web of Science引用231次，h指数10；代表北京航空航天大学确信可靠性理论团队授课“不确定理论：从入门到精通” (32学时)，平台观看超过28000人次；现为中国运筹学会不确定系统分会副秘书长，并主持国家自然科学基金青年项目和国家重点实验室基金。
