This article explains how to create and use kernel ridge regression (KRR) models. Compared to other regression techniques, KRR is especially useful when there is limited training data. There are ...

This paper presents a number of consistency results for nonparametric kernel estimators of density and regression functions and their derivatives. These results are particularly useful in ...

We propose and study a class of regression models, in which the mean function is specified parametricaUy as in the existing regression methods, but the residual distribution is modelled ...