Bayesian multivariate Poisson models for insurance ratemaking

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A latent variable representation of count data models to accommodate spatial and temporal dependence: application to predicting crash frequency at intersections (2011, background): “For instance, one may consider a simple Poisson or negative binomial discrete distribution, and develop multivariate versions of these discrete distributions to accommodate correlated counts (see Buck et al., 2009 and Bermúdez and Karlis, 2011 for applications of these methods).”