Distribution-free strong consistency for nonparametric kernel regression involving nonlinear time series
type: Item
instance of: scholarly article
title: Distribution-free strong consistency for nonparametric kernel regression involving nonlinear time series
zbMATH Open document ID: 0907.62053
DOI: 10.1016/S0378-3758(97)00045-1
author: Ping Cheng
author: Zudi Lu
published in: Journal of Statistical Planning and Inference
publication date: 1999-03-08T00:00:00Z
Mathematics Subject Classification ID: 62G20
Mathematics Subject Classification ID: 62M10
Mathematics Subject Classification ID: 62G07
zbMATH DE Number: 1115600
zbMATH Keywords: alpha-mixing stationary sequence
zbMATH Keywords: nonlinear time series
zbMATH Keywords: distribution-free strong consistency
zbMATH Keywords: kernel regression
zbMATH Keywords: modified kernel regression
Wikidata QID: Q115438331
MaRDI profile type: Publication
cites work: Q4715954
cites work: An almost sure invariance principle for the empirical distribution function of mixing random variables
cites work: Ergodicity of nonlinear first order autoregressive models
cites work: Approximation theorems for strongly mixing random variables
cites work: Q3713367
cites work: Strong uniform convergence rates in robust nonparametric time series analysis and prediction: Kernel regression estimation from dependent observations
cites work: Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation
cites work: Distribution-free pointwise consistency of kernel regression estimate
cites work: KERNEL REGRESSION SMOOTHING OF TIME SERIES
cites work: Data-driven bandwidth choice for density estimation based on dependent data
cites work: Probability density estimation from dependent observations using wavelets orthonormal bases
cites work: Nonparametric Estimation and Identification of Nonlinear ARCH Time Series Strong Convergence and Asymptotic Normality: Strong Convergence and Asymptotic Normality
cites work: A threshold AR(1) model
cites work: The mixing property of bilinear and generalised random coefficient autoregressive models
cites work: Convergence of stochastic processes
cites work: The functional law of the iterated logarithm for stationary strongly mixing sequences
cites work: NONPARAMETRIC ESTIMATORS FOR TIME SERIES
cites work: Q3282340
cites work: Nonparametric regression estimation under mixing conditions
cites work: Optimal global rates of convergence for nonparametric regression
cites work: Non-linear time series and Markov chains
cites work: Threshold models in non-linear time series analysis
cites work: Q3999154
cites work: Recursive density estimation under dependence
cites work: Kernel density estimation under dependence
cites work: Nonparametric function estimation involving time series
cites work: Strong convergence of kernel estimates of nonparametric regression functions
full work available at URL: s0378-3758(97)00045-1
OpenAlex ID: W2063839654
description: scientific article; zbMATH DE number 1115600