A class of unbiased kernel estimates of a probability density function
Tomasz Rychlik · Applicationes Mathematicae · 1995
We propose a class of unbiased and strongly consistent nonparametric kernel estimates of a probability density function, based on a random choice of the sample size and the kernel function. The expected sample size can be arbitrarily small and mild condit