accurate premiums when extreme outcomes are present in the data. In particular, they had studied regression-type credibility … extend the area of application of standard credibility ratemaking to several well-studied examples from property and casualty … compared to that of other robust regression credibility procedures …

distribution, and updates using Bayes's formula --- is often viewed as the gold-standard, while Buhlmann's credibility estimator … lead to inaccurate inference and prediction. The credibility estimator, on the other hand, is not sensitive at all to model …. Furthermore, we argue that this Gibbs perspective provides a new characterization of Buhlmann's credibility estimator …