Assistant Professor of Statistics –Temple University July 2012 – present,
Department of Statistics, Fox Business School
Assistant Professor of Statistics — University of Florida Oct. 2011 – June 2012, Department of Statistics, College of Liberal Arts and Sciences
Postdoctoral Research Fellow and Lecturer — Princeton University Sep. 2009 – Oct. 2011, Department of Operations Research and Financial Engineering
Mentor: Professor Jianqing Fan
Ph.D. in Statistics — The Wharton School, University of Pennsylvania Aug. 2009
B.S. in Mathematics — Fudan University, Shanghai, China Jun. 2004
Han, X., Fang, E. and Tang, C-Y (2018). Pre-processing with Orthogonal Decompositions for High-dimensional Explanatory Variables.
Han, X. (2018). Nonparametric Screening under Conditional Strictly Convex Loss for Ultrahigh Dimensional Sparse Data. Annals of Statistics, accepted.
Fan, J. and Han, X. (2016). Estimation of False Discovery Proportion with Unknown Dependence. Journal of Royal Statistical Society-Series B, Volume 79, 1143-1164.
Fugi, I., Brown, L., Han, X. and Zhao, L. (2014). Hunting for Significance: A Bayesian Classifier under a Mixture Loss Function. Journal of Statistical Planning and Inference, 154, 62-71.
Fan, J., Han, X. and Gu, W. (2012). Estimating False Discovery Proportion Under Arbitrary Covariance Dependence (with discussion). Journal of American Statistical Association, Theory and Methods, 107(499), 1019-1035.
Silver Medal of ICCM Best Paper Award from International Consortium of Chinese Mathematicians (2017): The papers selected from general fields of mathematics published in the past five years in honor of Professor Shing-Tung Yau.
Fan, J., Han, X., Gu, W. (2012). Rejoinder: Estimating False Discovery Proportion under Arbitrary Covariance Dependence. Journal of American Statistical Association, Theory and Methods, 107(499), 1046-1048.
Han, X., Small, D., Foster, D. and Patel, V. (2011), The Effect of Winning an Oscar Award on Survival: Correcting for Healthy Performer Survivor Bias with a Rank Preserving Structural Accelerated Failure Time Model. Annals of Applied Statistics, Vol 5, 746-772.