To model multivariate, possibly heavy-tailed data, we compare the multivariate normal model (N) with two versions of the multivariate Student model: the independent multivariate Student (IT) and the uncorrelated multivariate Student (UT). After recalling some facts about these distributions and...

Two regressions can be interpreted as based on Gini's Mean Difference (GMD): a semiparametric approach, which relies on weighted average of slopes defined between adjacent observations and a minimization approach, which is based on minimization of the GMD of the residuals. The estimators...

Two regression methods can be interpreted as based on Gini's Mean Difference (GMD). One, the semi-parametric approach, relies on a weighted average of slopes defined between adjacent observations and the other, the minimization approach, is based on minimization of the GMD of the errors. The...