DISTANCE COVARIANCE FOR STOCHASTIC PROCESSESThe distance covariance of two random vectors is a measure of their dependence. The empirical distance covariance and correlation can be used as statistical tools for testing whether two random vectors are independent. We propose an analog of the distance covariance for two stochastic processes defined on some interval. Their empirical analogs can be used to test the independence of two processes. DISTANCE COVARIANCE FOR STOCHASTIC PROCESSESThe distance covariance of two random vectors is a measure of their dependence. The empirical distance covariance and correlation can be used as statistical tools for testing whether two random vectors are independent. We propose an analog of t...
Partial distance correlation measures association between two random vectors with respect to a third...
We consider the problem of testing pairwise dependence for stationary time series. For this, we sugg...
The current paper discusses approximating a correct theory of cause and effect by minimizing distanc...
The distance covariance of two random vectors is a measure of their dependence. The empirical dista...
Distance covariance is a quantity to measure the dependence of two random vectors. We show that the ...
Given an iid sequence of pairs of stochastic processes on the unit interval we construct a measure...
Recently a new dependence measure, the distance correlation, has been proposed to measure the depend...
The concept of distance covariance/correlation was introduced recently to characterise dependence am...
The distance covariance function is a new measure of dependence between random vectors. We drop the ...
The simple correlation coefficient between two variables has been generalized to measures of associa...
The simple correlation coefficient between two variables has been generalized to measures of associa...
Abstract. Distance covariance and distance correlation are scalar coefficients that characterize ind...
The distance measure of two stochastic processes is a key problem in the processing of stochastic si...
A framework is developed for inference concerning the covariance operator of a functional random pr...
Distance correlation is a measure of the relationship between random vectors in arbitrary dimension....
Partial distance correlation measures association between two random vectors with respect to a third...
We consider the problem of testing pairwise dependence for stationary time series. For this, we sugg...
The current paper discusses approximating a correct theory of cause and effect by minimizing distanc...
The distance covariance of two random vectors is a measure of their dependence. The empirical dista...
Distance covariance is a quantity to measure the dependence of two random vectors. We show that the ...
Given an iid sequence of pairs of stochastic processes on the unit interval we construct a measure...
Recently a new dependence measure, the distance correlation, has been proposed to measure the depend...
The concept of distance covariance/correlation was introduced recently to characterise dependence am...
The distance covariance function is a new measure of dependence between random vectors. We drop the ...
The simple correlation coefficient between two variables has been generalized to measures of associa...
The simple correlation coefficient between two variables has been generalized to measures of associa...
Abstract. Distance covariance and distance correlation are scalar coefficients that characterize ind...
The distance measure of two stochastic processes is a key problem in the processing of stochastic si...
A framework is developed for inference concerning the covariance operator of a functional random pr...
Distance correlation is a measure of the relationship between random vectors in arbitrary dimension....
Partial distance correlation measures association between two random vectors with respect to a third...
We consider the problem of testing pairwise dependence for stationary time series. For this, we sugg...
The current paper discusses approximating a correct theory of cause and effect by minimizing distanc...