主题：Big Data: Myths and Wonders
主讲人简介：Professor Chan received his B.Sc. in Mathematics at the Chinese University of Hong Kong and his Ph.D. in Statistics at the University of Maryland, USA.He first started his career as an Halvaty Research Assistant Professor at Indiana University from 1985-1990.Starting in 1990, he moved to Carnegie Mellon University first as an Associate Professor and later became a Professor in Statistics from 1990-2000.Starting in 2000, he joined the Chinese University of Hong Kong as a Chair Professor in Statistics and was the first Director in the Risk Management Program and later became the Chairman of Statistics between 2001-2013.From 2013, he was appointed as the Choh-Min Lee Chair Professor in Statistics at CUHK. Professor Chan is a world renowned researcher in statistics and econometrics. His research interest covers time series, econometrics, risk management and statistical finance. He has received many honors, including but not limited to an Elected Fellow of the Institute of Mathematical Statistics and the American Statistical Association. He is a Chang –Jiang Chair Professor of Statistics of the Ministry of Education and Renmin University of China and the recipient of 100-men Professor of Statistics of SWUFE.
This talk reviews some of the historical and modern developments of the notion of data inthe statistical frontier. Further discussions about modern big data and oracle properties will also be addressed.