Non- and semi-parametric estimation in models with unknown smoothness

Many asymptotic results for kernel-based estimators were established under some smoothness assumption on density. We propose a combined estimator that could lead to the best available rate without knowledge of density smoothness. A Monte Carlo example confirms its good performance.