Uniform in bandwidth consistency of nonparametric regression based on copula representation

We establish in this paper the uniform-in-bandwidth consistency for general kernel-type estimators of regression. More precisely, we investigate the regression estimator based on copula representation. The asymptotic properties are driven by a U-statistic relying on the methods developed in Dony and Mason (2008).