Search engine for discovering works of Art, research articles, and books related to Art and Culture
ShareThis
Javascript must be enabled to continue!

Representation of discrete quasi-copulas through non-square matrices

View through CrossRef
In this paper a matrix representation for discrete quasi-copulas defined on a non-square grid In× Imof [0,1]2with m=kn, k≥1 is given. The special case of irreducible discrete quasi-copulas (those that cannot be expressed as nontrivial convex combination of other ones) is also studied. It is proved that quasi-copulas of minimal range admit a matrix representation through a special class of matrices. In the case of copulas, it is proved that irreducible copulas coincide with those of minimal range. Moreover, an algorithm to express any discrete copula as a convex combination of irreducible ones is given.
Title: Representation of discrete quasi-copulas through non-square matrices
Description:
In this paper a matrix representation for discrete quasi-copulas defined on a non-square grid In× Imof [0,1]2with m=kn, k≥1 is given.
The special case of irreducible discrete quasi-copulas (those that cannot be expressed as nontrivial convex combination of other ones) is also studied.
It is proved that quasi-copulas of minimal range admit a matrix representation through a special class of matrices.
In the case of copulas, it is proved that irreducible copulas coincide with those of minimal range.
Moreover, an algorithm to express any discrete copula as a convex combination of irreducible ones is given.

Related Results

Maximal signed volume for (multivariate) supermodular quasi-copulas
Maximal signed volume for (multivariate) supermodular quasi-copulas
Abstract. Copulas are the main tool of dependence modeling in statistics, and quasi-copulas are their necessary companions. The latter appear, say, as infima or suprema of sets of ...
Copula
Copula
Copulas and copular clauses are interesting for a variety of reasons: morphological, syntactic, semantic, historical, pragmatic, and sociolinguistic ones. It is thus not surprising...
Attia-1 and Attia-2 New Archimedean Bivariate Copulas Modeling Positive Dependency
Attia-1 and Attia-2 New Archimedean Bivariate Copulas Modeling Positive Dependency
In this paper, the author introduces new methods to construct Archimedean copulas. The generator of each copula fulfills the sufficient conditions as regards the boundary and being...
Distribution of Quotient of Dependent and Independent Random Variables Using Copulas
Distribution of Quotient of Dependent and Independent Random Variables Using Copulas
Determining distributions of the functions of random variables is a very important problem with wide applications in Risk Management, Finance, Economics, Science, and many other ar...
Estimación bayesiana de cópulas extremales en procesos de Poisson
Estimación bayesiana de cópulas extremales en procesos de Poisson
The estimation of occurrence probabilities of extremal quantities is essential in the study of hazards associated with natural phenomena. The extremal quantities of interest usuall...
Distribution Function, Probability Generating Function and Archimedean Generator
Distribution Function, Probability Generating Function and Archimedean Generator
Archimedean copulas form a very wide subclass of symmetric copulas. Most of the popular copulas are members of the Archimedean copulas. These copulas are obtained using real functi...
On Goethals and Seidel Array
On Goethals and Seidel Array
Objectives: In this article, we aim to find a series of Hadamard matrices by suitable selection of the special class of matrices given in the Goethals and Seidel array and study th...
Determining Distribution for the Product of Random Variables by Using Copulas
Determining Distribution for the Product of Random Variables by Using Copulas
Determining distributions of the functions of random variables is one of the most important problems in statistics and applied mathematics because distributions of functions have w...

Back to Top