13 citations · 38 across the 26 of their papers we have counts for
6 papers · 1 filter
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…
Adjusting for Misclassification: A Three-Phase Sampling Approach
Hailin Sang, Kenneth K. Lopiano, Denise A. Abreu +3
The United States Department of Agriculture's National Agricultural Statistics Service (NASS) conducts the June Agricultural Survey (JAS) annually. Substantial misclassification oc…
Simultaneous sparse model selection and coefficient estimation for heavy-tailed autoregressive processes
Hailin Sang, Yan Sun
We propose a sparse coefficient estimation and automated model selection procedure for autoregressive (AR) processes with heavy-tailed innovations based on penalized conditional ma…
Asymptotic Properties of Self-Normalized Linear Processes with Long Memory
Magda Peligrad, Hailin Sang
In this paper we study the convergence to fractional Brownian motion for long memory time series having independent innovations with infinite second moment. For the sake of applica…