Xiaoli Kong

Xiaoli Kong

Assistant Professor


1217 FAB

Xiaoli Kong

Research interest(s)/area of expertise

  • Multivariate Analysis; Inference of High-Dimensional Data; Nonparametric Analysis; Dimension Reduction;



  • Lie Algebra and Representation Theory



Selected publications

X. Kong, A. Villasante-Tezanos, S. W. Harrar (2022). Generalized Nonparametric Composite Tests for High-Dimensional Data. Symmetry 14 (06), 1153

S. Liu and X. Kong (2022). A generalized correlated Cp criterion for derivative estimation with dependent errors. Computational Statistics & Data Analysis 171, 107473

S. W. Harrar, X. Kong (2022). Recent developments in high-dimensional inference for multivariate data: Parametric, semiparametric and nonparametric approaches. Journal of Multivariate Analysis 188, 104855

X. Kong, S. W. Harrar (2021). High-dimensional MANOVA under weak conditions. Statistics 55 (2), 321-349

X. Kong, S. W. Harrar (2020). High-dimensional rank-based inference. Journal of Nonparametric Statistics 32 (2), 294-322

Courses taught by Xiaoli Kong

Fall Term 2024 (future)

Winter Term 2024

Fall Term 2023

Winter Term 2023

Fall Term 2022

Winter Term 2022