AbstractThe geometry of the set of p × q probability mass function matrices with fixed marginals is discussed. The positively quadrant dependent and negatively quadrant dependent subsets are also considered. Explicit graphical representations of these sets are given in the 2 × 2 and 2 × 3 cases
We consider distributional free inference to test for positive quadrant dependence, that is, for the...
AbstractA general real matrix-variate probability model is introduced here, which covers almost all ...
Title from PDF of title page (University of Missouri--Columbia, viewed on August 28, 2012).The entir...
AbstractIn this paper, the set of all bivariate positive quadrant dependent distributions with fixed...
AbstractThe concepts of conditionally more positively quadrant dependent, and conditionally more dis...
Several measures for dependence of two random variables are investigated in the case of given margin...
[eng] Dependence between random variables is studied at various levels in the first part, while the ...
AbstractLet X1, …, Xp have p.d.f. g(x12 + … + xp2). It is shown that (a) X1, …, Xp are positively lo...
The concepts of conditionally more positively quadrant dependent, and conditionally more dispersed a...
This paper was written during an invited stay of the authors at the Vietnam Institute for Advanced S...
AbstractIt is well known that quadrant dependent (QD) random variables are also quadrant dependent i...
Algebraic geometry is used to study properties of a class of discrete distributions defined on trees...
A new class of tests based on convex combination of the two statistics is proposed. These are func...
We propose a novel bound on single-variable marginal probability distributions in factor graphs with...
summary:First, under a multivariate normal distribution with all correlations of the form $Q_{ij}=b_...
We consider distributional free inference to test for positive quadrant dependence, that is, for the...
AbstractA general real matrix-variate probability model is introduced here, which covers almost all ...
Title from PDF of title page (University of Missouri--Columbia, viewed on August 28, 2012).The entir...
AbstractIn this paper, the set of all bivariate positive quadrant dependent distributions with fixed...
AbstractThe concepts of conditionally more positively quadrant dependent, and conditionally more dis...
Several measures for dependence of two random variables are investigated in the case of given margin...
[eng] Dependence between random variables is studied at various levels in the first part, while the ...
AbstractLet X1, …, Xp have p.d.f. g(x12 + … + xp2). It is shown that (a) X1, …, Xp are positively lo...
The concepts of conditionally more positively quadrant dependent, and conditionally more dispersed a...
This paper was written during an invited stay of the authors at the Vietnam Institute for Advanced S...
AbstractIt is well known that quadrant dependent (QD) random variables are also quadrant dependent i...
Algebraic geometry is used to study properties of a class of discrete distributions defined on trees...
A new class of tests based on convex combination of the two statistics is proposed. These are func...
We propose a novel bound on single-variable marginal probability distributions in factor graphs with...
summary:First, under a multivariate normal distribution with all correlations of the form $Q_{ij}=b_...
We consider distributional free inference to test for positive quadrant dependence, that is, for the...
AbstractA general real matrix-variate probability model is introduced here, which covers almost all ...
Title from PDF of title page (University of Missouri--Columbia, viewed on August 28, 2012).The entir...