activity
20162019
collaborators

6 papers

stat.ME2019

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…

stat.ME2019

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…

stat.ME2019

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…

stat.ME2018

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…

math.ST2017

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)\,…

stat.ME2016

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…