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Lookup NU author(s): Dr Cristiano Villa
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Insurance risks data typically exhibit skewed behaviour. In this paper, we propose a Bayesian approach to capture the main features of these data sets. This work extends a methodology recently introduced in the literature by considering an extra parameter that captures the skewness of the data. In particular, a skewed Student‐t distribution is considered. Two data sets are analysed: the Danish fire losses and the US indemnity loss. The analysis is carried with an objective Bayesian approach. For the discrete parameter representing the number of the degrees of freedom, we adopt a novel prior recently appeared in the literature.
Author(s): Leisen F, Marin J, Villa C
Publication type: Article
Publication status: Published
Journal: Applied Stochastic Models in Business and Industry
Print publication date: 01/03/2017
Online publication date: 10/04/2017
Acceptance date: 08/12/2016
ISSN (print): 1524-1904
ISSN (electronic): 1526-4025
Publisher: John Wiley & Sons Ltd.
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