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Yongli joined the Department of Mathematics at the ÌìÃÀ´«Ã½°²×¿Æƽâ°æ as an assistant professor in August 2017. She received my PhD in Mathematics with concentration in Statistics in May 2017 from the University of Mississippi. 

Ph.D. in Statistics, 2017
The University of Mississippi (advisor: Hailin Sang)

M.S. in Statistics, 2014
The University of Mississippi

M.S. in Mathematics, 2012
Central China Normal University, China

B.S. in Mathematics, 2009
Shandong Normal University, China

My research interests lie in Statistics, especially in Time Series, Nonparametric Statistics, Robust Statistics and Correlated Data Analysis.

• Hewage, S. and Sang, Yongli, Jackknife empirical likelihood confidence intervals for the categorical Gini correlation, Journal of Statistical Planning and Inference, 231 (2024), 106123.
• Sang, Yongli, Test for diagonal symmetry in high dimension, Statistics and Probability Letters, 205 (2024), 109960.
• Sang, Yongli and Dang, X., Asymptotic Normality of Gini Correlation in High Dimension with Applications to the K- sample Problem, Electronic Journal of Statistics, 17 (2023), 2539-2574.
• Sang, Yongli, A jackknife empirical likelihood approach for testing homogeneity of K variances, Metrika, 84 (2021), 1025-1048.
• Vanderford, C. Sang, Yongli, and Dang, X., Two Symmetric and Computational Efficient Gini Correlations, Dependence Modeling, 8 (2020), 373-395.