Bayesian shrinkage estimation is a familiar concept that arises from minimizing the Bayes risk under the squared error loss. For observations over a period of time, Bayesian shrinkage estimators may be used to predict the value of a response variable for a subject, given previously observed...

In this article, we provide an alternative evidence of asymmetric information in automobile insurance based on a copula model. We use the Frank’s copula to jointly model the type of policy coverage chosen and the number of accidents, with the dependence parameter providing for evidence of the...

This article examines the notion of distortion of copulas, a natural extension of distortion within the univariate framework. We study three approaches to this extension: (1) distortion of the margins alone while keeping the original copula structure, (2) distortion of the margins while...