Xiaoli Kong

Xiaoli Kong

Research interest(s)/area of expertise

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

   

   

• Lie Algebra and Representation Theory

Research

Publications

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)

• MAT5700 - Introduction to Probability Theory

Winter Term 2024 (current)

• STA5030 - Statistical Computing and Data Analysis
• STA5800 - Introduction to Mathematical Statistics

Fall Term 2023

• MAT6150 - Probability and Statistics for Teachers
• STA2210 - Probability and Statistics
• MAT2010 - Calculus I

Winter Term 2023

• STA5030 - Statistical Computing and Data Analysis

Fall Term 2022

• STA2210 - Probability and Statistics
• STA5030 - Statistical Computing and Data Analysis
• MAT6150 - Probability and Statistics for Teachers

Winter Term 2022

• STA2210 - Probability and Statistics