Large deviations for kernel-type empirical distributions.
type: Item
instance of: scholarly article
title: Large deviations for kernel-type empirical distributions.
zbMATH Open document ID: 1092.62542
DOI: 10.1016/S0167-7152(02)00149-9
author: Takuhisa Shikimi
published in: Statistics \& Probability Letters
publication date: 2003-05-07T00:00:00Z
Mathematics Subject Classification ID: 62G30
Mathematics Subject Classification ID: 60F10
zbMATH DE Number: 1906937
zbMATH Keywords: Large deviations
zbMATH Keywords: Kernel-type empirical distributions
zbMATH Keywords: Sanov's theorem
MaRDI profile type: Publication
cites work: Q4351955
cites work: Q4391441
cites work: Q4388221
cites work: Asymptotic Minimax Character of the Sample Distribution Function and of the Classical Multinomial Estimator
cites work: Large deviation theorems for empirical probability measures
cites work: The tight constant in the Dvoretzky-Kiefer-Wolfowitz inequality
cites work: Q3395931
cites work: Large deviations, moderate deviations and LIL for empirical processes
description: scientific article; zbMATH DE number 1906937