摘要

Let f(n)(x) be the non-parametric kernel density estimator of a density function f (x) based on a kernel function K. In this paper, we first prove two moderate deviation theorems in L-1(R-d) for {f(n)(X), n >= 1}. Then, as an application of the moderate deviations, we obtain a law of the iterated logarithm for {parallel to f(n) - Ef(n) parallel to(1), n >= 1}.