A finite mixture of bivariate Poisson regression models with an application to insurance ratemaking

From MaRDI portal
Publication:1927179

DOI10.1016/j.csda.2012.05.016zbMath1254.91264OpenAlexW1965634459MaRDI QIDQ1927179

Dimitris Karlis, Lluís Bermúdez

Publication date: 30 December 2012

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/2445/106474



Lua error in Module:PublicationMSCList at line 37: attempt to index local 'msc_result' (a nil value).


Related Items (17)

Allowing for time and cross dependence assumptions between claim counts in ratemaking modelsEstimation in the zero-inflated bivariate Poisson model, with an application to health-care utilization dataClustering bivariate mixed-type data via the cluster-weighted modelA posteriori ratemaking using bivariate Poisson modelsGamma mixture density networks and their application to modelling insurance claim amountsThe multivariate mixed negative binomial regression model with an application to insurance a posteriori ratemakingCopula-based bivariate finite mixture regression models with an application for insurance claim count dataFrom grouped to de-grouped data: a new approach in distribution fitting for grouped dataBivariate Mixed Poisson Regression Models with Varying DispersionMultivariate mixed Poisson generalized inverse Gaussian INAR(1) regressionHierarchical generalized linear models, correlation and a posteriori ratemakingModeling frequency and severity of claims with the zero-inflated generalized cluster-weighted modelsCensored count data regression with missing censoring informationBivariate Poisson models with varying offsets: an application to the paired mitochondrial DNA datasetMultivariate modelling of multiple guarantees in motor insurance of a householdA NEW MULTIVARIATE ZERO-INFLATED HURDLE MODEL WITH APPLICATIONS IN AUTOMOBILE INSURANCEOn bootstrap estimators of some prediction accuracy measures of loss reserves in a non-life insurance company


Uses Software


Cites Work


This page was built for publication: A finite mixture of bivariate Poisson regression models with an application to insurance ratemaking