AbstractThe aim of this article is to give an axiomatic characterization of the multivariate measure of “affinity” among a number of distributions. This measure has been used in the last few years for statistical decision making. When there are only two distributions involved this measure of affinity is related to a measure of distance between the distributions. In this article the multivariate measure is characterized by a set of four axioms. It is shown that these axioms lead to a functional equation whose unique solution is the measure of affinity under consideration. The axioms are also intuitively appealing as desirable properties for a measure of affinity
AbstractThis paper is devoted to the theory and application of multidimensional stable distributions...
2000 Mathematics Subject Classification: 62H10.We consider the joint distribution of the correlation...
AbstractThe maximal correlation between a pair of σ-fields A and B becomes arbitrarily small as sup{...
AbstractThe aim of this article is to give an axiomatic characterization of the multivariate measure...
summary:Kullback's relative information and Kerridge's inaccuracy are two information-theoretic meas...
We define an affinity measure of two probability density functions of p-dimensionnal random vectors ...
AbstractIn statistical estimation problems measures between probability distributions play significa...
International audienceIn this paper we deal with the problem of axiomatizing the preference relation...
We define strong and weak affinities of a number a for a sequence (xk) denoted by L(a,(xk)) and U(...
By analogy to the real case established by Matusita (1955) we introduce the concept of affinity betw...
This journal provides immediate open access to its content on the principle that making research fre...
This paper generalizes the axiomatic approach to the design of income inequality measures to the mul...
AbstractBased on an idea of Rosenblatt, the methods of interpolation theory are used to establish mo...
Starting from the notion of a multidistance, we formalize, through a suitable system of axioms, the ...
summary:Generalizing the result by Y. L. Tong, a chain of inequalities for probabilities in some typ...
AbstractThis paper is devoted to the theory and application of multidimensional stable distributions...
2000 Mathematics Subject Classification: 62H10.We consider the joint distribution of the correlation...
AbstractThe maximal correlation between a pair of σ-fields A and B becomes arbitrarily small as sup{...
AbstractThe aim of this article is to give an axiomatic characterization of the multivariate measure...
summary:Kullback's relative information and Kerridge's inaccuracy are two information-theoretic meas...
We define an affinity measure of two probability density functions of p-dimensionnal random vectors ...
AbstractIn statistical estimation problems measures between probability distributions play significa...
International audienceIn this paper we deal with the problem of axiomatizing the preference relation...
We define strong and weak affinities of a number a for a sequence (xk) denoted by L(a,(xk)) and U(...
By analogy to the real case established by Matusita (1955) we introduce the concept of affinity betw...
This journal provides immediate open access to its content on the principle that making research fre...
This paper generalizes the axiomatic approach to the design of income inequality measures to the mul...
AbstractBased on an idea of Rosenblatt, the methods of interpolation theory are used to establish mo...
Starting from the notion of a multidistance, we formalize, through a suitable system of axioms, the ...
summary:Generalizing the result by Y. L. Tong, a chain of inequalities for probabilities in some typ...
AbstractThis paper is devoted to the theory and application of multidimensional stable distributions...
2000 Mathematics Subject Classification: 62H10.We consider the joint distribution of the correlation...
AbstractThe maximal correlation between a pair of σ-fields A and B becomes arbitrarily small as sup{...