23 citations · 68 across the 17 of their papers we have counts for
9 papers · 1 filter
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…
A new Gini correlation between quantitative and qualitative variables
Xin Dang, Dao Nguyen, Yixin Chen +1
We propose a new Gini correlation to measure dependence between a categorical and numerical variables. Analogous to Pearson in ANOVA model, the Gini correlation is interprete…
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…
A rank-based Cramér-von-Mises-type test for two samples
Jamye Curry, Xin Dang, Hailin Sang
We study a rank based univariate two-sample distribution-free test. The test statistic is the difference between the average of between-group rank distances and the average of with…
Gini Covariance Matrix and its Affine Equivariant Version
Xin Dang, Hailin Sang, Lauren Weatherall
We propose a new covariance matrix called Gini covariance matrix (GCM), which is a natural generalization of univariate Gini mean difference (GMD) to the multivariate case. The ext…
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…