20 citations · 28 across the 11 of their papers we have counts for
11 papers
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…
Asymptotic Normality of Gini Correlation in High Dimension with Applications to the K-sample Problem
Yongli Sang, Xin Dang
The categorical Gini correlation proposed by Dang et al. is a dependence measure to characterize independence between categorical and numerical variables. The asymptotic distributi…
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…
Jackknife Empirical Likelihood Methods for Gini Correlations and their Equality Testing
Yongli Sang, Xin Dang, Yichuan Zhao
The Gini correlation plays an important role in measuring dependence of random variables with heavy tailed distributions, whose properties are a mixture of Pearson's and Spearman's…
Kernel entropy estimation for linear processes
Hailing Sang, Yongli Sang, Fangjun Xu
Let be a linear process with bounded probability density function . We study the estimation of the quadratic functional $\int_{\mathbb{R}} f^2(x)\,…
Symmetric Gini Covariance and Correlation
Yongli Sang, Xin Dang, Hailin Sang
Standard Gini covariance and Gini correlation play important roles in measuring the dependence of random variables with heavy tails. However, the asymmetry brings a substantial dif…
Memory properties of transformations of linear processes
Hailin Sang, Yongli Sang
In this paper, we study the memory properties of transformations of linear processes. Dittmann and Granger (2002) studied the polynomial transformations of Gaussian FARIMA(0,d,0) p…