We consider a bivariate Poisson model that is based on the lognormal heterogeneity model. Two recent applications have used this model. We suggest that the correlation estimated in their model frameworks is an ambiguous measure of the correlation of the variables of interest, and may substantially overstate it. We conclude with a detailed application of the proposed method using the data employed in one of the two aforementioned bivariate Poisson studies
This article considers bivariate mixed Poisson INAR(1) regression models with correlated random effe...
In this paper the application of bivariate Poisson heterogeneous models to budget data is studied. T...
<p>* Significant correlation <0.4.</p><p>** Significant correlation 0.4–0.6.</p><p>*** Significant c...
This study presents several extensions of the most familiar models for count data, the Poisson and n...
We introduce an approach for incorporating dependence between outcomes from a Poisson regression mod...
This thesis notes the importance of the class of infinitely divisible bivariate Poisson distribution...
In this paper, a new bivariate negative binomial regression (BNBR) model allowing any type of correl...
This study presents several extensions of the most familiar models for count data, the Poisson and n...
Two-component Poisson mixture regression is typically used to model heterogeneous count outcomes tha...
In this paper, we propose a random intercept Poisson model in which the random effect is assumed to ...
© 2015, Springer-Verlag Berlin Heidelberg. Generalized estimating equations have been widely used in...
Complex bipartite systems are studied in Biology, Physics, Economics, and Social Sciences, and they ...
Summary. Models based on the bivariate Poisson distribution are used for modelling sports data. Inde...
The study of the association between two random variables that have a joint normal distribution is o...
SUMMARY: The problem of determining if a bivariate normal correlation changes with respect to time o...
This article considers bivariate mixed Poisson INAR(1) regression models with correlated random effe...
In this paper the application of bivariate Poisson heterogeneous models to budget data is studied. T...
<p>* Significant correlation <0.4.</p><p>** Significant correlation 0.4–0.6.</p><p>*** Significant c...
This study presents several extensions of the most familiar models for count data, the Poisson and n...
We introduce an approach for incorporating dependence between outcomes from a Poisson regression mod...
This thesis notes the importance of the class of infinitely divisible bivariate Poisson distribution...
In this paper, a new bivariate negative binomial regression (BNBR) model allowing any type of correl...
This study presents several extensions of the most familiar models for count data, the Poisson and n...
Two-component Poisson mixture regression is typically used to model heterogeneous count outcomes tha...
In this paper, we propose a random intercept Poisson model in which the random effect is assumed to ...
© 2015, Springer-Verlag Berlin Heidelberg. Generalized estimating equations have been widely used in...
Complex bipartite systems are studied in Biology, Physics, Economics, and Social Sciences, and they ...
Summary. Models based on the bivariate Poisson distribution are used for modelling sports data. Inde...
The study of the association between two random variables that have a joint normal distribution is o...
SUMMARY: The problem of determining if a bivariate normal correlation changes with respect to time o...
This article considers bivariate mixed Poisson INAR(1) regression models with correlated random effe...
In this paper the application of bivariate Poisson heterogeneous models to budget data is studied. T...
<p>* Significant correlation <0.4.</p><p>** Significant correlation 0.4–0.6.</p><p>*** Significant c...