Contact Information
725 S. Wright St.
M/C 374
Champaign, IL 61820
Biography
I am an Assistant Professor in the Department of Statistics at the University of Illinois at Urbana-Champaign. Prior to this, I spent a year as a postdoctoral researcher in the Department of Statistics at the University of Pennsylvania. I obtained my Ph.D. in Statistics from Harvard University in 2018, under the supervision of Jun S. Liu and Donald B. Rubin. Before that, I received my B.S. in Mathematics and Applied Mathematics with a minor in Economics from Peking University in 2013.
Research Interests
Randomization-based inference for causal effects
Observational studies & Sensitivity analysis
Peer effects & Interference
Bayesian inference
Experimental design
Recent Publications
Lin, Q., Li, X., Huang, D., & Liu, J. S. (2021). On the optimality of sliced inverse regression in high dimensions. Annals of Statistics, 49(1), 1-20. https://doi.org/10.1214/19-AOS1813
Li, X., & Meng, X. L. (2020). A Multi-resolution Theory for Approximating Infinite-p-Zero-n: Transitional Inference, Individualized Predictions, and a World Without Bias-Variance Tradeoff. Journal of the American Statistical Association, 116(533), 353-367. https://doi.org/10.1080/01621459.2020.1844210
Li, X., & Ding, P. (2020). Rerandomization and regression adjustment. Journal of the Royal Statistical Society. Series B: Statistical Methodology, 82(1), 241-268. https://doi.org/10.1111/rssb.12353
Li, X., Ding, P., & Rubin, D. B. (2020). Rerandomization in 2K factorial experiments. Annals of Statistics, 48(1), 43-63. https://doi.org/10.1214/18-AOS1790
Li, X., Ding, P., Lin, Q., Yang, D., & Liu, J. S. (Accepted/In press). Randomization Inference for Peer Effects. Journal of the American Statistical Association, 114(528), 1651-1664. https://doi.org/10.1080/01621459.2018.1512863