In this paper the application of bivariate Poisson heterogeneous models to budget data is studied. This study was motivated from inconsistencies that we encountered when univariate Poisson based models were applied to cumulative data sets. Application of a multivariate Poisson based model is a possible solution to this problem. In this paper we will study the feasibility of estimators based on these models
This paper introduces a new multivariate model for time series count data. The Multivariate Autoregr...
We observe n inhomogeneous Poisson’s processes with covariates and aim at estimating their...
This paper introduces a new multivariate model for time series count data. The Multivariate Autoregr...
A general framework for the analysis of count data (with covariates) is proposed using formulations ...
A general framework for the analysis of count data (with covariates) is proposed using formulations ...
In this paper an approach is developed that accommodates heterogeneity in Poisson regression models ...
Multivariate stochastic processes with Poisson marginals are of interest in insurance and nance; the...
In this article, we review the concept of a Lévy copula to describe the dependence structure of a bi...
We analyze multicategory purchases of households by means of heterogeneous multivariate probit model...
In this paper an approach is developed that accommodates heterogeneity in Poisson regression models ...
We consider a bivariate Poisson model that is based on the lognormal heterogeneity model. Two recent...
We are studying linear and log-linear models for multivariate count time series data with Poisson ma...
This study presents several extensions of the most familiar models for count data, the Poisson and n...
When we consider the construction of the collective risk model the important step is the choice of t...
International audienceWe observe $n$ inhomogeneous Poisson processes with covariates and aim at esti...
This paper introduces a new multivariate model for time series count data. The Multivariate Autoregr...
We observe n inhomogeneous Poisson’s processes with covariates and aim at estimating their...
This paper introduces a new multivariate model for time series count data. The Multivariate Autoregr...
A general framework for the analysis of count data (with covariates) is proposed using formulations ...
A general framework for the analysis of count data (with covariates) is proposed using formulations ...
In this paper an approach is developed that accommodates heterogeneity in Poisson regression models ...
Multivariate stochastic processes with Poisson marginals are of interest in insurance and nance; the...
In this article, we review the concept of a Lévy copula to describe the dependence structure of a bi...
We analyze multicategory purchases of households by means of heterogeneous multivariate probit model...
In this paper an approach is developed that accommodates heterogeneity in Poisson regression models ...
We consider a bivariate Poisson model that is based on the lognormal heterogeneity model. Two recent...
We are studying linear and log-linear models for multivariate count time series data with Poisson ma...
This study presents several extensions of the most familiar models for count data, the Poisson and n...
When we consider the construction of the collective risk model the important step is the choice of t...
International audienceWe observe $n$ inhomogeneous Poisson processes with covariates and aim at esti...
This paper introduces a new multivariate model for time series count data. The Multivariate Autoregr...
We observe n inhomogeneous Poisson’s processes with covariates and aim at estimating their...
This paper introduces a new multivariate model for time series count data. The Multivariate Autoregr...