The asymptotic normality of internal estimator for nonparametric regression
type: Item
instance of: scholarly article
title: The asymptotic normality of internal estimator for nonparametric regression
zbMATH Open document ID: 1498.62087
author: Penghua Li
author: Xiaoqin Li
author: Li-Ping Chen
published in: Journal of Inequalities and Applications
publication date: 2021-12-15T00:00:00Z
Mathematics Subject Classification ID: 62G08
Mathematics Subject Classification ID: 62G20
Mathematics Subject Classification ID: 62G05
zbMATH DE Number: 7445947
zbMATH Keywords: asymptotic normality
zbMATH Keywords: nonparametric regression
zbMATH Keywords: internal estimator
zbMATH Keywords: dependent data
MaRDI profile type: Publication
full work available at URL: s13660-018-1832-6
OpenAlex ID: W2889619936
Wikidata QID: Q58754975
cites work: Q5509408
cites work: Q5510038
cites work: Versions of Kernel-Type Regression Estimators
cites work: Q3825945
cites work: A kernel method of estimating structured nonparametric regression based on marginal integration
cites work: On internally corrected and symmetrized kernel estimators for nonparametric regression
cites work: Strong consistency of the internal estimator of nonparametric regression with dependent data
cites work: Uniform convergence of estimator for nonparametric regression with dependent data
cites work: Q3269536
cites work: Q5560061
cites work: Nonparametric curve estimation from time series
cites work: A distribution-free theory of nonparametric regression
cites work: Nonlinear time series. Nonparametric and parametric methods
cites work: Inference and Prediction in Large Dimensions
cites work: UNIFORM CONVERGENCE RATES FOR KERNEL ESTIMATION WITH DEPENDENT DATA
cites work: Q4867580
cites work: Maximal moment inequality for partial sums of strong mixing sequences and application
cites work: Q3995465
cites work: Nonparametric regression estimation for dependent functional data: asymptotic normality
DOI: 10.1186/S13660-018-1832-6
Recommended article: Q4778466
Recommended article: Asymptotic normality of \(L_ 1\)-estimators in nonlinear regression
Recommended article: Q3792059
Recommended article: Q4509166
Recommended article: On asymptotic normality in nonlinear regression
Recommended article: Asymptotic normality for the estimator of non parametric regression model under ϕ-mixing errors
Recommended article: Q4538797
description: scientific article; zbMATH DE number 7445947