Strong convergence of sums of alpha-mixing random variables with applications to density estimation

In this paper we prove general statements on the strong convergence of sums of random variables belonging to a triangular array. We assume that this array satisfies an alpha-mixing condition. An inequality of Bernstein type is the crucial tool for the proofs. Moreover, some general results are applied to study the convergence of kernel density estimators.