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Yongli joined the Department of Mathematics at the ÑÇÖÞ×ÔοÊÓƵ of ÑÇÖÞ×ÔοÊÓƵ at Lafayette as an assistant professor in August 2017. She received my PhD in Mathematics with concentration in Statistics in May 2017 from the ÑÇÖÞ×ÔοÊÓƵ of Mississippi. 

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

M.S. in Statistics, 2014
The ÑÇÖÞ×ÔοÊÓƵ of Mississippi

M.S. in Mathematics, 2012
Central China Normal ÑÇÖÞ×ÔοÊÓƵ, China

B.S. in Mathematics, 2009
Shandong Normal ÑÇÖÞ×ÔοÊÓƵ, 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.