Abstract
The typical assumption of independence among claim size distributions is not always satisfied in risk modelling. In this study, the exchangeable claim sizes are considered aggregated claims that are obtained via compound Poisson process. Exchangeability of the claim size is obtained by the conditional independence, using parametric and nonparametric measures for the conditioning distribution. A Bayesian analysis of the proposed model is illustrated with Turkish Earthquake Insurance Claims Data between 2000 and 2003.
Keywords
- Posterior Distribution
- Claim Size
- Claim Amount
- Homogeneous Poisson Process
- Posterior Predictive Distribution
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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© 2014 Springer International Publishing Switzerland
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Özel, G. (2014). Claim Sizes in the Compound Poisson Process from a Bayesian Viewpoint. In: Lanzarone, E., Ieva, F. (eds) The Contribution of Young Researchers to Bayesian Statistics. Springer Proceedings in Mathematics & Statistics, vol 63. Springer, Cham. https://doi.org/10.1007/978-3-319-02084-6_37
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DOI: https://doi.org/10.1007/978-3-319-02084-6_37
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