The authors review various facts about copulas linking discrete distributions. They show how the possibility of ties that results from atoms in the probability distribution invalidates various familiar relations that lie at the root of copula theory in the continuous case. They highlight some of the dangers and limitations of an undiscriminating transposition of modeling and inference practices from the continuous setting into the discrete on
After reviewing a large body of literature on the modeling of bivariate discrete distributions with ...
Bivariate Poisson models are appropriate for modeling paired count data. However the bivariate Pois...
Copulas are a popular choice when assessing the dependence structure between continuous random varia...
In this note, we elucidate some of the mathematical, statistical and epistemological issues involved...
Copulas have now become ubiquitous statistical tools for describing, analysing and modelling depende...
Copulas have enjoyed increased usage in many areas of econometrics, including applications with disc...
In this paper we will discuss the structure and properties of discrete copulas in a specialcase when...
Copulas are a popular choice when assessing the dependence structure between continuous random varia...
A natural way to represent a 1-D probability distribution is to store its cumulative distribution fu...
Copulas are a popular choice when assessing the dependence structure between continuous random varia...
Abstract. A natural way to represent a 1-D probability distribution is to store its cumulative distr...
Bivariate Poisson models are appropriate for modelling paired count data. However, the bivariate Poi...
Abstract. A natural way to represent a 1-D probability distribution is to store its cumulative distr...
After reviewing a large body of literature on the modeling of bivariate discrete distributions with ...
This paper studies the effect of marginal distributions on a copula, in the case of mixed discrete-c...
After reviewing a large body of literature on the modeling of bivariate discrete distributions with ...
Bivariate Poisson models are appropriate for modeling paired count data. However the bivariate Pois...
Copulas are a popular choice when assessing the dependence structure between continuous random varia...
In this note, we elucidate some of the mathematical, statistical and epistemological issues involved...
Copulas have now become ubiquitous statistical tools for describing, analysing and modelling depende...
Copulas have enjoyed increased usage in many areas of econometrics, including applications with disc...
In this paper we will discuss the structure and properties of discrete copulas in a specialcase when...
Copulas are a popular choice when assessing the dependence structure between continuous random varia...
A natural way to represent a 1-D probability distribution is to store its cumulative distribution fu...
Copulas are a popular choice when assessing the dependence structure between continuous random varia...
Abstract. A natural way to represent a 1-D probability distribution is to store its cumulative distr...
Bivariate Poisson models are appropriate for modelling paired count data. However, the bivariate Poi...
Abstract. A natural way to represent a 1-D probability distribution is to store its cumulative distr...
After reviewing a large body of literature on the modeling of bivariate discrete distributions with ...
This paper studies the effect of marginal distributions on a copula, in the case of mixed discrete-c...
After reviewing a large body of literature on the modeling of bivariate discrete distributions with ...
Bivariate Poisson models are appropriate for modeling paired count data. However the bivariate Pois...
Copulas are a popular choice when assessing the dependence structure between continuous random varia...