Department of Finance
Date of this Version
2006
Document Type
Article
Citation
Journal of Actuarial Practice 13 (2006), pp. 33-60
Abstract
We propose a Bayesian analysis to develop credibility estimates of the well known Biihlmann-Straub model. We describe simple numerical methods to obtain exact posterior distributions and predictive densities under this model. These distributions are obtained through Monte Carlo simulations that generate independent samples from the joint posterior distribution. Our methods are therefore preferable to methods such as Gibbs sampling, which generates dependent samples from the joint distribution. The methods discussed also can be extended to more complicated credibility models.
Included in
Accounting Commons, Business Administration, Management, and Operations Commons, Corporate Finance Commons, Finance and Financial Management Commons, Insurance Commons, Management Sciences and Quantitative Methods Commons
Comments
Copyright 2006 Absalom Press