Wei Biao Wu
Wei Biao Wu is a Chinese-born statistician. He is a professor of statistics at the University of Chicago.
Education and career
Wu attended Fudan University, receiving his bachelor's degree in 1997. He went on to the University of Michigan for graduate studies, receiving his PhD in 2001 under the supervision of Michael Woodroofe and Sándor Csörgő. He was hired at the University of Chicago shortly after completing his PhD, and has remained there since.Wu is best-known for his work on dependence, in which the main new idea is to interpret random processes as physical systems, and to examine coefficients that would have physical meaning. According to Google Scholar, this work has been cited over 350 times. Wu has written over 100 papers.
Wu has more than 20 students and their descendants working in academia.
Most-cited publications
- His most cited article, WB Wu, Nonlinear system theory: Another look at dependence in Proceedings of the National Academy of Sciences 2005 Oct 4;102:14150-4. has been cited 485 times, according to Google Scholar.
- Wu WB, Pourahmadi M. Nonparametric estimation of large covariance matrices of longitudinal data. Biometrika. 2003 Dec 1;90:831-44. has been cited 341 times, according to Google Scholar
- Wu WB. Strong invariance principles for dependent random variables. The Annals of Probability. 2007;35:2294-320. has been cited 235 times, according to Google Scholar
- Wu WB, Shao X. Limit theorems for iterated random functions. Journal of Applied Probability. 2004 Jun;41:425-36. has been cited 194 times, according to Google Scholar
- Wu WB, Zhao Z. Inference of trends in time series. Journal of the Royal Statistical Society, Series B. 2007 Jun;69:391-410.
- Shao X, Wu WB. Asymptotic spectral theory for nonlinear time series. The Annals of Statistics. 2007 Aug;35:1773-801.