AbstractAn uncorrelatedness set of two random variables shows which powers of random variables are uncorrelated. These sets provide a measure of independence: the wider an uncorrelatedness set is, the more independent random variables are. Conditions for a subset of N2 to be an uncorrelatedness set of bounded random variables are studied. Applications to the theory of copulas are given
Considering the characteristics of the bivariate normal distribution, in which uncorrelation of two ...
The concept of measuring, by a scalar value, the strength of dependence between two random variables...
This paper considers dependence conditions under which the pairwise uncorrelatedness of the componen...
Limit theorems as well as other well-known results in probability and statistics are often based on ...
AbstractA nonparametric test of the mutual independence between many numerical random vectors is pro...
AbstractWe consider the class of multivariate distributions that gives the distribution of the sum o...
We consider the class of multivariate distributions that gives the distribution of the sum of uncorr...
AbstractThe problem of dependency between two random variables has been studied throughly in the lit...
AbstractA decomposition of the independence empirical copula process into a finite number of asympto...
Nefunkční DOIThe classical probability that a randomly chosen number from the set {n ∈ N : n ≤ n0} b...
Conditional independence almost everywhere in the space of the conditioning variates does not imply ...
AbstractThis paper offers an axiomatic characterization of the probabilistic relation “X is independ...
AbstractA method is given for testing the independence of variates in an infinitely divisible random...
New statistics are proposed for testing the hypothesis that two non-continuous random variables are ...
A collection of $n$ random events is said to be $(n - 1)$-wise independent if any $n - 1$ events amo...
Considering the characteristics of the bivariate normal distribution, in which uncorrelation of two ...
The concept of measuring, by a scalar value, the strength of dependence between two random variables...
This paper considers dependence conditions under which the pairwise uncorrelatedness of the componen...
Limit theorems as well as other well-known results in probability and statistics are often based on ...
AbstractA nonparametric test of the mutual independence between many numerical random vectors is pro...
AbstractWe consider the class of multivariate distributions that gives the distribution of the sum o...
We consider the class of multivariate distributions that gives the distribution of the sum of uncorr...
AbstractThe problem of dependency between two random variables has been studied throughly in the lit...
AbstractA decomposition of the independence empirical copula process into a finite number of asympto...
Nefunkční DOIThe classical probability that a randomly chosen number from the set {n ∈ N : n ≤ n0} b...
Conditional independence almost everywhere in the space of the conditioning variates does not imply ...
AbstractThis paper offers an axiomatic characterization of the probabilistic relation “X is independ...
AbstractA method is given for testing the independence of variates in an infinitely divisible random...
New statistics are proposed for testing the hypothesis that two non-continuous random variables are ...
A collection of $n$ random events is said to be $(n - 1)$-wise independent if any $n - 1$ events amo...
Considering the characteristics of the bivariate normal distribution, in which uncorrelation of two ...
The concept of measuring, by a scalar value, the strength of dependence between two random variables...
This paper considers dependence conditions under which the pairwise uncorrelatedness of the componen...
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