Statistical Analysis of Big Data: A Few Problems and Challenges

摘 要：
The explosive growth of Big Data brings significant challenges and potentials to a wide range of fields, from genomics to personalized medicine to information technology. It also creates tremendous opportunities for statistics. The emergence of data science promises to revolutionize industries from business to health care to government, and to change how we work, live and communicate. In this non-technical talk, I will discuss a few interesting problems to illustrate the potential benefits of Big Data and the demand for statistics in the age of Big Data. The emergence of data science requires substantially expansion of statistics programs in leading universities.
个人简介：
Professor T.Tony Cai is the Dorothy Silberberg professor of Statistics, professor of Applied Math.& Computational Science Graduate Group, and associate scholar of Department of Biostatistics and Epidemiology in school of medicine, University of Pennsylvania. He received his PhD in Statistics from Cornell University in 1996, and until now, has published over 120 research articles. He was/is the editor/associate editor of top statistical journals, including The Annals of Statistics, Journal of the Royal Statistical Society (Series B), Journal of the American Statistical Association, Statistica Sinica, etc. He won the COPSS Presidents' Award in 2008, and President-elect, International Chinese Statistical Association in 2016. Dr. Cai's research interests include high-dimensional statistical inference, large-scale multiple testing, functional data analysis, statistical decision theory, nonparametric function estimation and application to genomics, chemical identification and medical imaging.