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Article Dans Une Revue Journal of the Royal Statistical Society: Series A Statistics in Society Année : 2019

Flexible (panel) regression models for bivariate count-continuous data with an insurance application

Yang Lu

Résumé

We propose a flexible regression model that is suitable for mixed count-continuous panel data. The model is based on a compound Poisson representation of the continuous variable , with bivariate random effect following a polynomial-expansion-based joint density. Besides the distributional flexibility that it offers, the model allows for closed form forecast updating formu-lae.This property is especially important for insurance applications, in which the future individual insurance premium should be regularly updated according to one's own past claim history. An application to vehicle insurance claims is provided.
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Dates et versions

hal-02419024 , version 1 (20-12-2019)

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  • HAL Id : hal-02419024 , version 1

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Yang Lu. Flexible (panel) regression models for bivariate count-continuous data with an insurance application. Journal of the Royal Statistical Society: Series A Statistics in Society, 2019. ⟨hal-02419024⟩
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