Dennis K.J. Lin
，
美国宾州州立大学管理学院杰出讲座教授
(Penn State University Distinguished Professor)
，中国人民大学长江讲座教授，复旦大学特聘教授，美国质量管理学会院士
(American Society for Quality)
，美国统计学会院士
(American Statistical Association)
，国际统计学社院士
(International Statistical Institute)
，世界数理统计学会院士
(Institute of Mathematical Statistics)
，中国山西财经大学三晋学者，中国西安统计学院名誉教授，台湾中山大学管理学院杰出讲座教授，国家政策研究基金会顾问
(
财政金融组
)
，美国宾州州立大学杰出研究奖章
2004
年得主。
曾获杰出教学奖杰出研究奖等数十余项，发表
SCI/SSCI
论文两百余篇。
报告内容摘要：
As natural as the real data, ghost data is everywhere—it is just data that you cannot see. We need to learn how to handle it, how to model with it, and how to put it to work.
Three movies will be discussed in this talk: (1) “The Sixth Sense” (Bruce Wallis)—I can see things that you cannot see; (2) “Sherlock Holmes” (Robert Downey)—absence of expected facts; and (3) “Edge of Tomorrow” (Tom Cruise)—how to speed up your learning (AlphaGo-Zero will also be discussed).It will be helpful, if you watch these movies before coming to my talk.This is an early stage of my research in this area--any feedback from you is deeply appreciated. Much of the basic idea is highly influenced via Mr. John Sall (JMP-SAS).
