Exponential confidence interval based on the recursive Wolverton-Wagner density estimation

Autor:	Formica, M. R., Ostrovsky, E., Sirota, L.
Rok vydání:	2021
Předmět:	Mathematics - Statistics Theory
Druh dokumentu:	Working Paper
Popis:	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.
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2102.07867 Zobrazit plný text záznamu View this record from Arxiv