Assistant Professor, School of Mathematical and Statistical Sciences
I am currently an assistant professor in the School of Mathematical and Statistical Sciences. Before joining Clemson, I was a postdoctoral fellow at the Statistical and Applied Mathematical Sciences Institute (SAMSI) and the University of North Carolina at Chapel Hill. I completed my bachelor’s degree in mathematical statistics from Beijing Normal University (Beijing, China). I then earned a master’s degree in statistics at the University of Georgia, and a Ph.D. in statistics at Iowa State University.
My research interests include, but are not limited to, precision medicine, functional data analysis, non-/semi-parametric high-dimensional regression, spatio-temporal analysis, with application to statistical genetics, neuroimaging and public health.
Cho H, Zitkovsky J, Li X, Lu M, Shah K, Sperger J, Tsilimigras MCB, and Kosorok MR. 2020. Comment: Diagnostics and kernel-based extensions for linear mixed effects models with endogenous covariates. Stat Sci. 35: 396–399. doi:10.1214/20-STS782.
Li X, Wang L, and Wang H. 2020. Sparse learning and structure identification for ultra-high-dimensional image-on-scalar regression. J Amer Stat Assoc. doi: 10.1080/01621459.2020.1753523.
Li X, Wang L, and Nettleton D. 2019. Additive partially linear models for ultra-high-dimensional regression. Stat. 8: e223. doi: 10.1002/sta4.223.
Li X, Wang L, and Nettleton D. 2019. Simultaneous sparse model identification and learning for ultra-high-dimensional additive partially linear models. J Multivar Anal. 173: 204-228. doi: 10.1016/j.jmva.2019.02.010.
Li, X., Fang, W. and Lin, W. (2014) Comparison of interpolation methods for tropical cyclone track and intensity over Northwestern Pacific basin. Journal of Beijing Normal University (Natural Science), 50(2), 111–116.
Cramer, E., Huang, Y., Wang, Y., [et al, including Li, X.] (2022) The United States COVID-19 Forecast Hub dataset. Scientific Data, 9(1), 1–15.
Fisher, W.∗, Zhang, Q., Li, X. and Deng, X. (2022) A NURBS fitting approach for quality assessment of 3D printing. Proceedings of IISE Annual Conference and Expo 2022.
Cramer, E., Ray, E., Lopez, V., [et al, including Li, X.] (2022) Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the US. Proceedings of the National Academy of Sciences (PNAS), 119(15), e2113561119.
Lee, D., El-Zaatari, H., Kosorok, M. R., Li, X. and Zhang, K. (2022) Discussion of Gorsky and Ma “Multi-scale Fisher’s independence test for multivariate dependence.” Biometrika, 109(3), 593–596.
Wang, Y., Kim, M., Yu, S., Li, X., Wang, G., Wang, L. (2022) Nonparametric estimation and inference for spatiotemporal epidemic models. Journal of Nonparametric Statistics, 34(3), 683–70