Office Hours for Spring 2014

Hua Liang

Professor of Statistics
Faculty: Full-Time
Address: Rome Hall
801 22nd St NW
Washington, DC,
Phone: 202-994-7844
[email protected]

Professor of Statistics


Ph. D., 2001, Texas A&M University


Lu, T. Liang, H., Li, H.Z., and Wu, H. L. (2011). High dimensional ODEs coupled with mixed-effects modeling techniques for dynamic gene regulatory network identification. JASA, 106, 1242-1258.

Liang, H., Zou, G.H., Wan, A. T. K., and Zhang, X. Y. (2011). Optimal weight choice for frequentist model average estimators. JASA, 106, 1053-1066.

Wang, L., Liu, X., Liang, H. and Carroll, R. (2011). Estimation and variable selection for generalized additive partial linear models. Annals of Statistics, 39, 1827-1851.

Zhang, X. Y. and Liang, H. (2011). Focused information criterion and model averaging for generalized additive partial linear models. Annals of Statistics, 39, 174-200.

Liang, H., Liu, X., Li, R. and Tsai, C.L. (2010). Estimation and testing for partially linear single index models. Annals of Statistics, 38, 3811-3836.

Du, P., Ma, S. and Liang, H. (2010). Penalized variable selection procedure for Cox models with semiparametric relative risk. Annals of Statistics, 38, 2092-2117.

Liang, H. and Li, R. Z. (2009). Variable selection for partially linear models with measurement errors. JASA, 104, 234-248.

Zhou, Y. and Liang, H. (2009). Statistical inference for semiparametric varying-coefficient partially linear models with error-prone linear covariates. Annals of Statistics, 37, 427-458.

Liang, H. and Wu, H. L. (2008). Parameter estimation for differential equation models using a framework of measurement error in regression models. JASA, 103, 1570-1583.

Liang, H., Wu, H.L, and Zou, G. H. (2008). A note on conditional AIC for linear mixed-effects models. Biometrika, 95, 773-778.

Liang, H., Thurston, S., Ruppert, D., Apanasovich, T., and Hauser, R. (2008). Additive partial linear models with measurement errors. Biometrika, 95, 667-678.

Li, R.Z. and Liang, H. (2008). Variable selection in semiparametric regression modeling. Annals of Statistics, 36, 261-286.

Liang, H.,Wang, S.J., and Carroll, R. (2007). Partially linear models with missing response variables and error-prone covariates. Biometrika, 94, 185-198.

Zhou, Y. and Liang, H. (2005). Empirical-likelihood-based semiparametric inference for the treatment effect in the two-sample problem with censoring. Biometrika, 92, 271-282.

Liang, H., Wang, S. J., Robins, J. and Carroll, R. (2004). Estimation in partially linear models with missing covariates. JASA, 99, 357-367.

Liang, H., Härdle, W. and Carroll, R. J. (1999). Estimation in a semiparametric partially linear errors-in-variables model. Annals of Statistics, 27. 1519-1535. 


• Partially Linear Models
• Longitudinal Data Analysis
• Measurement Error Models
• Nonparametric and Semi-parametric Regression
• Model Averaging and Model Selection
• Nonlinear and Nonparametric Mixed Effect Models
• HIV/AIDS Clinical Trial and Dynamic Modeling