ianhui 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

             Education

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

 

Publications

[21]

Lu, M., Zhou, J., Naylor, C., Kirkpatrick, B., Haque, J., Petri, W., and Ma, J. (2017). Application of penalized linear regression methods to the selection of environmental enteropathy biomarkers. Biomarker Research. 2017 5:9.

[20]

 

Zhang, Y., Zhou, J., Niu, F., Donowitz, J., Haque, J., Petri, W., and Ma, J. (2017). Characterizing early child growth patterns of height-for-age in an urban slum cohort of Bangladesh with functional principal component analysis. BMC Pediatrics. 2017 17:84.

[19]

Wang, P., Zhou, J., and Qu, A. (2016). Correlation structure selection for longitudinal data with diverging cluster size. The Canadian Journal of Statistics. To appear.

[18]

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, Vol. 91, 40-50.

[17]

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. Published online before print May 13, 2015.

[16]

Liu, Z., Veeraraghavan, M, Zhou, J., and Li, Y. (2013). On causes of GridFTP transfer throughput variance. Proceedings of 3rd IEEE/ACM International Workshop on Network-aware Data Management.

[15]

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.

[14]

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.

[13]

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

[12]

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.

[11]

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

[10]

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.

[9]

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.

[8]

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.

[7]

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

[6]

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.

[5]

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.

[4]

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

[3]

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.

[2]

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

[1]

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.