Computing with bivariate COM-Poisson model under different copulas

Abstract

Bivariate counts are collected in many sectors of research but the analysis of such data is often challenging because each series of counts may exhibit different levels and types of dispersion. This paper addresses this problem by proposing a flexible bivariate COM-Poisson model that may handle any combination of over-, equiand under-dispersion at any… (More)
DOI: 10.1515/mcma-2017-0103

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