  We propose nonparametric estimation of divergence measures between continuous
distributions. Our approach is based on a plug-in kernel- type estimators of
density functions. We give the uniform in bandwidth consistency for the
proposal estimators. As a consequence, their asymp- totic 100% confidence
intervals are also provided.
