Fundamental Research in Statistics

Fundamental research in statistics includes developing new theory to validate statistical procedures, generalizing probability models for random processes, developing new nonparametric methodology for machine learning applications, establishing the asymptotic theory behind new statistical methods and proving new approaches for experiments that cannot be handled by traditional statistical methods. Areas of interest among our faculty include:

Faculty

Xiaohui Chen
Assistant Professor
Yuguo Chen
Professor
Georgios Fellouris
Assistant Professor
Bo Li
Associate Professor
Feng Liang
Associate Professor
Naveen Narisetty
Assistant Professor
Trevor Park
Clinical Assistant Professor
Stephen Portnoy
Professor Emeritus
 
Annie Qu
Professor
Xiaofeng Shao
Professor
Douglas Simpson
Professor
Sihai Dave Zhao
Assistant Professor

Faculty Affiliates

Partha Dey
Assistant Professor
Runhuan Feng
Assistant Professor
Roger Koenker
Professor
Renming Song
Professor
Richard Sowers
Professor