Xiaoli Kong

Xiaoli Kong is an Assistant Professor at Wayne State University's College of Liberal Arts and Sciences, Department of Mathematics. Her research focuses on advanced statistical methodologies including multivariate analysis, high-dimensional data inference, nonparametric analysis, and regression analysis. She also contributes to Lie Algebra and Representation Theory research.

• Research Interests: Multivariate Analysis, High-Dimensional Data Inference, Nonparametric Analysis, Regression Analysis, Lie Algebra, Representation Theory
• Teaching: Courses in probability, statistics, and statistical computing for undergraduate and graduate students

Xiaoli's recent publications address challenges in high-dimensional statistical modeling, nonparametric testing, and rank-based inference methods. Her work explores theoretical frameworks for multivariate data under weak conditions, develops composite tests for symmetry analysis, and innovates model selection criteria for correlated error structures.

Contact: kong@wayne.edu