Biography
Dr. Xu Han joins the Fox School from the University of Florida, where he served as an Assistant Professor of Statistics.
His research interests focus on high-dimensional statistics, multiple hypothesis testing, statistical decision theory and causal inference. He has published an article in the Annals of Applied Statistics, and an article in the Journal of American Statistical Association, which are both top-tier journals in Statistics.
Prior to his position at the University of Florida, Dr. Han was a Postdoctoral Research Fellow and Lecturer at Princeton University’s Department of Operations Research and Financial Engineering.
Dr. Han has received several honors and awards, including the Laha Award from the Institute of Mathematical Science and the J. Parker Bursk Memorial Prize (awarded for the best student research annually) in the Statistics Department at the University of Pennsylvania’s Wharton School.
Dr. Han received Bachelor of Science in Mathematics from Fudan University in Shanghai, China, and his MS and PhD in Statistics from the Wharton School.
Research Interests
- Large Scale Multiple Testing
- High Dimensional Variable Selection
- Shrinkage Estimation
- Causal Inference
Courses Taught
Number | Name | Level |
|---|---|---|
STAT 2501 | Quantitative Foundations for Data Science | Undergraduate |
STAT 2512 | Intermediate Statistics | Undergraduate |
STAT 3506 | Nonparametric and Categorical Data Analysis | Undergraduate |
STAT 8102 | Statistical Methods III | Graduate |
Selected Publications
Recent
Han, X. Application of Asymmetric Classification and Multiple Testing. Seattle, WA.
Han, X. Skilled Mutual Fund Selection: False Discovery Control under Dependence. https://event.olin.wustl.edu/sbies/pages/program.
Econometrics.
Han, X. Nonparametric Screening Under Conditional Strictly Convex Loss for Ultrahigh Dimensional Sparse Data. Philadelphia, PA. Retrieved from https://ww2.amstat.org/meetings/jsm/2020/onlineprogram/ActivityDetails.cfm?SessionID=219621.
Fan, J. & Han, X. (2017). Estimation of the false discovery proportion with unknown dependence. Journal of the Royal Statistical Society. Series B: Statistical Methodology, 79(4), 1143-1164. doi: 10.1111/rssb.12204.