Research

My research interests lie in Statistics. I'm studying High-dimensional Inference, Correlated Data Analysis,  Time Series, and Nonparametric Statistics.

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