Strong pointwise consistency of the kT -occupation time density estimator

In this paper, we study the kT-occupation time density estimator as an extension of the k-nearest neighbor estimator in continuous time. The rates of strong pointwise convergence for [alpha]-mixing and bounded processes in both optimal (when i.i.d. rates of density estimation are reached) and superoptimal cases (when parametric rates are reached) are established.