On Uniform Convergence of Estimates of Multivariate Probability Density

Statistical estimates of Rosenblatt–Parzen type for a multivariate probability density are considered. It is assumed that the probability density being estimated is a sufficiently smooth function. The use of this assumption makes it possible to construct estimates for a multivariate probability density that displace a high rate of uniform decrease of the estimation error with increasing sample size.