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. Journalof 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.
Wang, L.,Xue, L., and Yang, L. (2020) Estimation of additive frontier functions with shape constrains. Journal of Nonparametric Statistics, 32, 262-293.
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
Associate Editor, Sankhya Series B, 2012-2016
Associate Editor, Biostatistics and Epidemiology, 2017-current
Associate Editor, Statistica Sinica, 2020-current
Associate Editor, JASA (Theory and Methods), 2023-current
ASA Oregon Chapter, Treasurer, Vice President, and President, 2020-2023
ASA Excellent in Statistical Reporting Award Commitee, Chair, 2020-2022
Local Organization Committee Member, IISA Conference, 2016
Local Organization Committee Co-chair, Infinite Possibilities Conference, 2015
Program Committee, 2015 Joint Statistics Meetings, 2014-2015
Organizer, Workshop onNonparametric Estimation and Functional data, 2014
Program Committee, Joint Applied Statistics Symposium of ICSA and KISS, 2014