International audienceA new ordering for nonmonotone dependence is proposed, and a method is presented for describing parametric families of bivariate distributions with fixed marginals and specified dependence structures. The method is easy to use and allows for arbitrary marginals and arbitrary dependence structures (e.g., structures of nonmonotone dependence). Any parametric family of bivariate distributions is ordered by the nonmonotone dependence ordering constructed from the desirable dependence structure. The construction is based on a generalization of the copula of distribution functions to a copula of probability measures on product spaces. Examples are shown for various bivariate distributio
In this paper, we introduce a new family of multivariate distributions, so called the multivariate p...
Restricted until 15 Feb. 2009.A construction of multivariate distribution functions that allows for ...
Pareto distributions have been extensively used in literature for modelling and analysis of income a...
Dependence in the world of uncertainty is a complex concept. However, it exists, is asymmetric, has ...
In this paper I investigate the problem of defining a multivariate dependence ordering. First, I pro...
This paper provides a characterization of all possible dependency structures between two stochastica...
AbstractParametric families of continuous bivariate distributions with given margins that include in...
Copulas offer interesting insights into the dependence structures between the distributions of rando...
AbstractThe copula for a bivariate distribution functionH(x, y) with marginal distribution functions...
AbstractOne of the most useful tools for handling multivariate distributions with givenunivariatemar...
International audienceOne of the most useful tools for handling multivariate distributions with give...
We discuss a two-dimensional analog of the probability integral transform for bivariate distribution...
This paper presents a new class of bivariate distributions with Pareto of Marshall-Olkin type. The a...
AbstractThis paper provides a method of constructing multivariate distributions where both univariat...
summary:In this paper, we study a general structure for the so-called Farlie-Gumbel-Morgenstern (FGM...
In this paper, we introduce a new family of multivariate distributions, so called the multivariate p...
Restricted until 15 Feb. 2009.A construction of multivariate distribution functions that allows for ...
Pareto distributions have been extensively used in literature for modelling and analysis of income a...
Dependence in the world of uncertainty is a complex concept. However, it exists, is asymmetric, has ...
In this paper I investigate the problem of defining a multivariate dependence ordering. First, I pro...
This paper provides a characterization of all possible dependency structures between two stochastica...
AbstractParametric families of continuous bivariate distributions with given margins that include in...
Copulas offer interesting insights into the dependence structures between the distributions of rando...
AbstractThe copula for a bivariate distribution functionH(x, y) with marginal distribution functions...
AbstractOne of the most useful tools for handling multivariate distributions with givenunivariatemar...
International audienceOne of the most useful tools for handling multivariate distributions with give...
We discuss a two-dimensional analog of the probability integral transform for bivariate distribution...
This paper presents a new class of bivariate distributions with Pareto of Marshall-Olkin type. The a...
AbstractThis paper provides a method of constructing multivariate distributions where both univariat...
summary:In this paper, we study a general structure for the so-called Farlie-Gumbel-Morgenstern (FGM...
In this paper, we introduce a new family of multivariate distributions, so called the multivariate p...
Restricted until 15 Feb. 2009.A construction of multivariate distribution functions that allows for ...
Pareto distributions have been extensively used in literature for modelling and analysis of income a...