Abstract
While actuaries have had a Bayesian view of the world for decades, the adoption of methods that adhere strictly to the principles of modern Bayesian analysis has been slow. In his paper, Glenn Meyers shows that for a particular problem such an approach is not only feasible, but easy to complete. I am delighted that he has continued to take up the Bayesian cause, and with this note, I hope to provide just two extensions. One is to demonstrate that Meyers employed an approximation that was not needed for the particular prior distribution. The other is to provide an example that will confirm that his suggestions are indeed not limited to the Pareto distribution nor to one-parameter distributions.
Keywords: Reinsurance, Size of Loss Distributions
Volume
LXXXI
Page
114-122
Year
1994
Categories
Actuarial Applications and Methodologies
Ratemaking
Deductibles, Retentions, and Limits
Financial and Statistical Methods
Loss Distributions
Severity
Business Areas
Reinsurance
Publications
Proceedings of the Casualty Actuarial Society