Exponential confidence interval based on the recursive Wolverton-Wagner density estimation
Statistics Theory
2021-02-17 v1 Statistics Theory
Abstract
We derive the exponential non improvable Grand Lebesgue Space norm decreasing estimations for tail of distribution for exact normed deviation for the famous recursive Wolverton-Wagner multivariate statistical density estimation. We consider pointwise as well as Lebesgue-Riesz norm error of statistical density of measurement.
Keywords
Cite
@article{arxiv.2102.07867,
title = {Exponential confidence interval based on the recursive Wolverton-Wagner density estimation},
author = {M. R. Formica and E. Ostrovsky and L. Sirota},
journal= {arXiv preprint arXiv:2102.07867},
year = {2021}
}