Jianhui Zhou

Jianhui Zhou

Associate Professor
Department of Statistics
University of Virginia

Office:  107 Halsey Hall
Tel:      (434)  924-3355
Fax:      (434)  924-3076
Email:   jz9p at virginia dot edu

2005    Ph.D. in Statistics          University of Illinois at Urbana-Champaign
2000    B.S. in Mathematics      University of Science and Technology of China

Research  Interests


    Liu,, Y., Liu, L., and Zhou, J. (2015). Joint latent class model of survival and longitudinal data: An application to CPCRA study. Computational Statistics and Data Analysis. To appear.


    Niu, F., Zhou, J., Le, T., and Ma, J. (2015)Testing the trajectory difference in a semi-parametric longitudinal model. Statistical Methods in Medical Research. To appear.


    Hong, H. G. and Zhou, J. (2013). A multi-index model for quantile regression with ordinal data. Journal of Applied Statistics, Vol. 40, No. 6, 1231-1245.


    Zhou, J., Wang, NY, and Wang, N. (2013). Functional linear model with zero-value coefficient function at sub-region. Statistica Sinica, Vol. 23, No. 1, 25-50.


    Wang, H., Zhou, J., and Li, Y. (2013). Variable selection for censored quantile regression. Statistica Sinica, Vol. 23, No. 1, 145-167.


    Zhou, J., and Qu, A.(2012). Informative estimation and selection of correlation structure for longitudinal data. Journal of the American Statistical Association, Vol. 107, No. 498, 701-710.


    Wang, L, Zhou, J., and Qu, A. (2012). Penalized generalized estimating equations for high-dimensional longitudinal data analysis. Biometrics, Vol. 68, 353-360 .


    Gwise, T., Zhou, J., and Hu, F. (2011). An optimal response adaptive biased coin design with K heteroscedastic treatments. Journal of Statistical Planning and Inference. Vol. 141, No. 1, 235-242.


    Xue, L, Qu, A., and Zhou, J. (2010). Consistent model selection for marginal generalized additive model for correlated data. Journal of the American Statistical Association. Vol. 105, No. 492, 1518-1530.


    He, X. and Zhou, J. (2010). Discussion of “Envelope models for parsimonious and efficient multivariate linear regression” by Cook, Li and Chiaromonte. Statistica Sinica. Vol. 20, No. 3, 971-978.


    Zhou, J. (2009). Robust dimension reduction based on canonical correlation. Journal of Multivariate Analysis. Vol. 100, No. 1, 195-209.


    Wang, H., Zhu, Z., and Zhou, J. (2009). Quantile regression in partially linear varying coefficient models. Annals of Statistics, Vol. 37, No. 6, 3841-3866.


    Zhou, J. and He, X. (2008). Dimension reduction based on constrained canonical correlation and variable filtering. Annals of Statistics. Vol. 36, No. 4, 1649-1668.


    Ni, L., Wang, H., Tsai, C.-H., and Zhou, J. (2008). Variable selection via multivariate adaptive group lasso. Proceedings of the Joint Statistical Meetings.


    Zhou, J., Zhu, Z., and Fung, W. K. (2008). Robust testing with generalized partial linear models for longitudinal data. Journal of Statistical Planning and Inference. Vol. 138, No. 6, 1871-1883.


    Boente, G., He, X., and Zhou, J. (2006). Robust estimates in generalized partially linear models. Annals of Statistics, Vol. 34, No. 6, 2856-2878.


    Simpson, D., Ho, M., Yang, Y., Zhou, J., Zachary, J., and O’Brien, W. (2004). Excess risk thresholds in ultrasound safety studies: statistical methods for data on occurrence and size of lesions. Ultrasound in Medicine and Biology, Vol. 30, 1289-1295.