Professor of Statistics

Ph.D. in Statistics, University of Illinois at Urbana-Champaign, 1989

Website

Research Interests

• Robust statistics
• Regression quantiles
• Semiparametric models
• Data depth
• Dimension reduction
• Applications to educational testing, speech and hearing, epidemiology, and microarray data analysis

Honors and Appointments

• Fellow of the Institute of Mathematical Statistics (IMS)
• Fellow of the American Statistical Association (ASA)
• Editorial board member: Annals of Statistics, JASA, Statistica Sinica, Sankhya, Statistics and Probability Letters
• Editor of the IMS Bulletin
• Program Director for Statistics, National Science Foundation, 2003-2005

Selected Publications

• Bai, Z.D. and He, X. (1999): Asymptotic distributions of the maximal depth estimators for regression and multivariate location. Annals of Statistics, vol. 27, no. 5, 1616-1637.
• He, X. and Hu, F. (2002): Markov Chain Marginal Bootstrap. Journal of the American Statistical Association, Vol. 97, no. 459, 783-795.
• He, X., Fung, W.K., and Zhu, Z.Y. (2005): Robust Estimation in Generalized Partial Linear Models for Clustered Data. Journal of the American Statistical Association, Vol. 100, No. 472, 1176-1184.
• Kocherginsky, M., He, X. and Mu, Y. (2005): Practical Confidence Intervals for Regression Quantiles. Journal of Computational and Graphical Statistics , Vol. 14, no. 1, 41-55.
• Perlman, A.L., He, X., Barkmeier, J., and Van Leer, E. (2005): Bolus Location Associated with Videofluoroscopic and Respirodeglutometric Events. Journal of Speech, Language, and Hearing Research, Vol. 48, no. 1, 21-33.
• Wei, Y. and He, X. (2006): Conditional Growth Charts (with discussions). Annals of Statistics Vol. 34, 2069-2031.
• Lin, G., He, X., Hanlee, J., Shi, L., Davis, R.W., and Zhong, S. (2006): Reproducibility Probability Score: Incorporating Measurement Variability across Laboratories for Gene Selection. Nature Biotechnology, Vol. 24(12), 1476-1477.
• Wang, H.X. and He, X. (2007): Detecting Differential Expressions in GeneChip Microarray Studies: A Quantile Approach. Journal of the American Statistical Association, Vol. 102, 104-112.
• Hu, J and He, X. (2007): Enhanced quantile normalization of microarray data to reduce loss of information in the gene expression profile. Biometrics, Vol. 63, No. 1, (in press).