A special case of multivariate count data. The general case is often handled with copulas in the literature. The computationally difficult part is that most or almost all methods require numerical ...
Abstract: Univariate Mixed Poisson distributions (MPDs) are commonly used to model data recorded from low flux objects or with short exposure times. They assume that the number of recorded events, ...
ABSTRACT: Many researchers have discussed zero-inflated univariate distributions. These univariate models are not suitable, for modeling events that involve different types of counts or defects. To ...
We consider a multivariate survival distribution derived from an inverse Gaussian mixture of exponential distributions. The variables of this multivariate distribution are shown to exhibit total ...
ABSTRACT: Using the results of a unique telephone survey the frequency of consumer flights from airports in a multi-airport region are modeled using a multivariate Poisson framework, the parameters of ...
Abstract: Nowadays, computer games have gained immense popularity, captivating gamers who can easily spend hours engrossed in their laptops. However, not every game has the ability to keep players ...
This folder contains R code for (1) an R package for fitting multivariate Poisson-LogNormal Mixture Representation Model, and (2) Analysis of the dataset, including the code for making figures/tables.
After publication of an earlier version of this paper, we received feedback that there were several incorrect references to related methods in the literature. These errors are corrected in the current ...
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