I am an Associate Professor of Statistics in the Department of Mathematics at University of Louisiana at Lafayette. I completed my Ph.D in 2017 from the University of Mississippi. Here is a copy of my CV.
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Education
Ph.D. in Statistics, The University of Mississippi, 2017
Contact Information
Email: yongli.sang@louisiana.edu
Office: MDD 431
Research
Research
My research interests lie in Statistics. I'm studying High-dimensional Inference, Correlated Data Analysis, Time Series, and Nonparametric Statistics.
Publications
Publications
1. Symmetric Gini covariance and correlation,
Y. Sang, X. Dang and H. Sang, The Canadian Journal of Statistics 44(2016), 323-342.
2. Memory properties of transformations of linear processes,
H. Sang and Y. Sang, Statistical Inference for Stochastic 20(2017), 79-3103.
3. Kernel entropy estimation for the linear processes,
H. Sang, Y. Sang and F. Xu, Journal of Time Series Analysis 39 (2018), 563-591.
4. Jackknife empirical likelihood for the Gini correlations,
Y. Sang*, X. Dang and Y. Zhao, Journal of Statistical Planning and Inference 199 (2019), 45-59.
5. Testing for comparing several two-parameter exponential distributions based on uncensored/censored samples.
K. Krishnamoorthy, T.T. Nguyen and Y. Sang, Journal of Statistical Theory and Practice 19(2), 248-260.
6. Depth-based Weighted Jackknife Empirical Likelihood for Non-smooth U-structure Equations.
Sang*, Y., Dang, X. & Zhao, Y. TEST (2019) 29 (2020), 573-598.
7. Empirical likelihood approach for diagonal symmetry.
Y. Sang* and X. Dang, Statistics and Probability Letters 156 (2020), 108595.
8. Two Symmetric and Computational Efficient Gini correlations.
C. Vanderford, Y. Sang, and X. Dang, Dependence Modeling, 8 (2020), 373-395.
9. Jackknife empirical likelihood approach for K-sample tests via energy distance.
Y. Sang*, X. Dang and Y. Zhao, Canadian Journal of Statistics, 49 (4), 1115-1135.
10. A Jackknife Empirical Likelihood Approach for Testing Homogeneity of K variances.
Y. Sang, Metrika, 84(7), 1025-1048 (2021).
11. Asymptotic Normality of Gini Correlation in High Dimension with Applications to the K- sample Problem.
Y. Sang and X. Dang, Electronic Journal of Statistics, 17(2): 2539-2574 (2023). DOI: 10.1214/23-EJS2165 .
12. Test for diagonal symmetry in high dimension.
Y. Sang, Statistics and Probability Letters, 205(2024) 109960. DOI:10.1016/j.spl.2023.109960
13. Jackknife empirical likelihood confidence intervals for the categorical Gini correlation.
S. Hewage and Y. Sang*, Journal of Statistical Planning and Inference, 231(2024) 106123. https://doi.org/10.1016/j.jspi.2023.106123
Teaching
Teaching
University of Louisiana at Lafayette , 2017-present
STAT 524-Mathematical Statistics II, Spring 2020, Spring 2024.
STAT 523-Mathematical Statistics, Fall 2019, Fall 2023.
STAT 522 –Experimental Design, Spring 2019, Spring 2021, Spring 2023.
STAT 521 –Regression Analysis, Fall 2018, Fall 2020, Fall 2022.
STAT 417 –Biometry, Fall 2017-present
Ph.D Students Supervision
Ph.D Students Supervision
Sameera Hewage: Gini mean difference and categorical Gini correlation
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