Bayesian modelling of mortality catastrophes

Abstract When a mortality catastrophe is at its beginning data is scarce and estimates of its consequences are likely to be unreliable. When performing financial calculations (e.g., reserve setting) it is necessary to account for variability due to both estimation error and the random insured event itself. In this paper a Bayesian approach and an example using AIDS data will be presented.