Statistics Department

Education

• Ph.D. Statistics, Michigan State University, 2005
• B.S. Statistics, University of Science & Techology of China, 2000

Research Interests

• Nonparametric and semiprametric models
• Large sample theory
• Network data analysis
• Functional data analysis
• Medical imaging 

Selected Publications

• Xue,L. and Yang, L. (2006) Estimation of semiparametric additive coefficient model. Journal of Statistical Planning and Inference,136, 365-368.
• Xue, L. and Yang, L. (2006)  Additive coefficient modelling via polynomial spline. Statistica Sinica,16, 1423-1446.
• Yang, L., Park, B. U., Xue, L. and H ̈ardle, W. (2006) Estimation and testing for varying coefficients in additive models with marginal integration. Journal of the American Statistical Association,101, 1212-1227.
• Xue, L. (2009),  Variable selection in additive models.  Statistica Sinica, 19, 1281-1296.
• Xue, L., Wang, L., and Qu, A. (2010)  Incorporating correlation for multivariate failure time data when cluster size is large. Biometrics, 66, 393-404.
• Xue, L. and Liang, H. (2010) Polynomial spline estimation for the generalized additive coefficient model. Scandinavian Journal of Statistics,37, 26-46.
• Xue, L.and Wang, J. (2010) Distribution function estimation by constrained polynomial spline regression. Journal of Nonparametric Statistics, 22, 443-457
• 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, 105, 1518-1530.
• Xue, L.and Qu, A. (2012) Variable selection in high-dimensional varying-coefficient models with global optimality. Journal of Machine Learning Research,13, 1973-1998.
• Jiang, S. and Xue, L. (2013) Lag selection in stochastic additive models.Journal of Nonparametric Statistics,25, 129-146. (Laha Award paper) 
• Wang, L., Xue, L., Qu, A. and Liang, H. (2014)  Estimation and model selection in generalized additive partial linear models for correlated data with diverging number of covariates. Annals of Statistics, 42, 592-624.
• Wang, L. and Xue, L. (2015) Constrained polynomial spline estimation of monotone additive models. Journal of Statistical Planning and Inference, 167,  27-40.
• Jiang, S. and Xue, L. (2015) Globally consistent model selection in semi-parametric additive coefficient models. Journal of Nonparametric Statistics, 27,  532-551.
• Yang, M., Xue, L., and Yang, L. (2016) Variable selection for additive model via cumulative ratios of empirical strengths total. Journal of Nonparametric Statistics, 3, 595-616.
• Zheng, X.,Xue, L.and Qu, A. (2018) Time-varying correlation structure estimation and local-feature detection for spatio-temporal data. Journal of Multivariate Analysis,168, 221-239.
• Tekwe, C., Zoh, R., Yang, M.∗, Carroll, R. J., Honvoh, G. A., Allison, D. B, Benden, M., and Xue, L.(2019) Instrumental variable approach to estimating the functional linear regression model with an imprecisely measured covariate. Statistics in Medicine, 38, 3764-3781.
• James, A.,Xue, L.and Lesser, V. (2019) Information criterion for nonparametric model-assisted survey estimators, Journal of Survey Statistics and Methodology, 7, 398-421. (SRMS travel award paper)
• Yang, M., Hua, Z.,Xue, L. and Hu, M. (2019) Zmaxtest for delayed effect in immuno-oncology clinical trials. Journal of Biopharmaceutical Statistics, 10, 1-23.
• Xue, L., Shu, X. and Qu, A. (2020) Dynamic model selection of time-varying network. Statistica Sinica,30, 251-284.
• Xue, L., Shu, X., Shi, P., Wu, C. and Qu, A. (2020) Time-varying feature selection 

  for longitudinal analysis. Statistics in Medicine, 39, 156-170.

• Fang, Y.,Xue, L., Martins-Filho C. and Yang, L. (2022) Robust Estimation of Additive Boundaries With Quantile Regression and Shape Constraints. Journal of Business and Economic Statistics, 40, 615-628.
• Tekwe, C., Zhang, M.∗, Carroll, R., Luan, Y.,Xue, L, Zoh, R., Allison, D., Geraci, M. (2022) Estimation of sparse functional quantile regression with measurement error: A SIMEX approach. Biostatistics, 23, 1218-1241.
• Zhang, M.,Xue, L., Carmen, T., Bai, Y. and Qu, A. (2023) Partially functional linear quantile regression with measurement errors. Statistica Sinica, To appear.

Instructional and Departmental Activities

• ST 625 Generalized Regression Models II
• ST 662 Advanced Theory of Statistics II
• ST 663 Advanced Theory of Statistics III

Professional Service