Efficient frequency domain univariate Parzen approximation and applications

This paper introduces a frequency domain approximation to the univariate Parzen probability density function estimator. It is applied to construct an efficient semi-parametric density function estimator and density function distance measure that operates directly from sample data. The complexity of the techniques are constant with respect to the number of data samples and only depends on a pre-determined factor controlling the accuracy.