Gini distance correlation (GDC) was recently proposed to measure the
dep...
The categorical Gini correlation proposed by Dang et al. is a dependence...
Discretization of continuous-time diffusion processes is a widely recogn...
Langevin Monte Carlo (LMC) is an iterative process for sampling from a
d...
Energy distance is a statistical distance between the distributions of r...
The categorical Gini correlation is an alternative measure of dependence...
In many applications, parameters of interest are estimated by solving so...
Identifying statistical dependence between the features and the label is...
We study the mutual information estimation for mixed-pair random variabl...
Partially observed Markov process (POMP) models are powerful tools for t...
We propose a new Gini correlation to measure dependence between a catego...
Well-known for its simplicity and effectiveness in classification, AdaBo...
The Gini correlation plays an important role in measuring dependence of
...
We study a rank based univariate two-sample distribution-free test. The ...