1 citations · 2 across the 6 of their papers we have counts for
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Comparing Two Categorical Gini Correlations with Applications to Classification Problems
Sameera Hewage, Yongli Sang
This article proposes an inferential framework for comparing predictor importance in classification problems with categorical response variables. The approach is based on the categ…
Jackknife empirical likelihood confidence intervals for the categorical Gini correlation
Sameera Hewage, Yongli Sang
The categorical Gini correlation, , was proposed by Dang et al. to measure the dependence between a categorical variable, , and a numerical variable, . It has been show…
Grouped feature screening for ultrahigh-dimensional classification via Gini distance correlation
Yongli Sang, Xin Dang
Gini distance correlation (GDC) was recently proposed to measure the dependence between a categorical variable, Y, and a numerical random vector, X. It mutually characterizes indep…
Empirical Likelihood Test for Diagonal Symmetry
Yongli Sang, Xin Dang
Energy distance is a statistical distance between the distributions of random variables, which characterizes the equality of the distributions. Utilizing the energy distance, we de…
Jackknife Empirical Likelihood Approach for K-sample Tests
Yongli Sang, Xin Dang, Yichuan Zhao
The categorical Gini correlation is an alternative measure of dependence between a categorical and numerical variables, which characterizes the independence of the variables. A non…
Depth-based Weighted Jackknife Empirical Likelihood for Non-smooth U-structure Equations
Yongli Sang, Xin Dang, Yichuan Zhao
In many applications, parameters of interest are estimated by solving some non-smooth estimating equations with -statistic structure. Jackknife empirical likelihood (JEL) approa…