An Empirical Process Approach to the Uniform Consistency of Kernel-Type Function Estimators

We use general empirical process methods to determine under mild regularity conditions exact rates of uniform strong consistency of kernel-type function estimators. In the process a useful new bound on the expectation of the supremum of the empirical process is obtained.