Uniform strong consistency of kernel density estimators under dependence
type: Item
instance of: scholarly article
title: Uniform strong consistency of kernel density estimators under dependence
zbMATH Open document ID: 0843.62041
DOI: 10.1016/0167-7152(95)00008-9
author: Tae Yoon Kim
author: Dennis D. Cox
published in: Statistics \& Probability Letters
publication date: 1996-06-05T00:00:00Z
Mathematics Subject Classification ID: 62G07
Mathematics Subject Classification ID: 62G20
zbMATH DE Number: 885151
zbMATH Keywords: alpha-mixing
zbMATH Keywords: almost sure uniform convergence
zbMATH Keywords: uniform consistency
zbMATH Keywords: kernel density estimators
zbMATH Keywords: compact subsets
zbMATH Keywords: rates of convergence
zbMATH Keywords: dependency effects
MaRDI profile type: Publication
full work available at URL: 0167-7152(95)00008-9
OpenAlex ID: W2019216147
cites work: Uniform strong estimation under \(\alpha\)-mixing, with rates
cites work: Moment bounds for mixing random variables useful in nonparametric function estimation
cites work: Nonparametric estimation in Markov processes
cites work: Nonparameteric estimation in mixing sequences of random variables
cites work: Q4727203
cites work: Nonparametric Density Estimation, Prediction, and Regression for Markov Sequences
cites work: Density estimation in the \(L^ \infty\) norm for dependent data with applications to the Gibbs sampler
Wikidata QID: Q128018363
description: scientific article; zbMATH DE number 885151