Mean Integrated Square Error Properties of Density Estimates

Abstract

The rate at which the mean integrated square error decreases as sample size increases is evaluated for general L1 kernel estimates and for the Fourier integral estimate for a probability density. The rates are compared to that of the minimum M.I.S.E.; the Fourier integral estimate is found to be asymptotically optimal.