Xiaoli Kong
Research interest(s)/area of expertise
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Multivariate Analysis; Inference of High-Dimensional Data; Nonparametric Analysis; Dimension Reduction;
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Lie Algebra and Representation Theory
Research
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
Winter Term 2025 (future)
Fall Term 2024 (current)
- MAT5700 - Introduction to Probability Theory
- MAT6150 - Probability and Statistics for Teachers
- STA2210 - Probability and Statistics
Winter Term 2024
Fall Term 2023
- MAT2010 - Calculus I
- MAT6150 - Probability and Statistics for Teachers
- STA2210 - Probability and Statistics
Winter Term 2023
Fall Term 2022
- MAT6150 - Probability and Statistics for Teachers
- STA2210 - Probability and Statistics
- STA5030 - Statistical Computing and Data Analysis