Asymptotic normality of the relative error regression function estimator for censored and time series data
type: Item
instance of: scholarly article
title: Asymptotic normality of the relative error regression function estimator for censored and time series data
zbMATH Open document ID: 1480.62199
author: Feriel Bouhadjera
author: Elias Ould Saïd
published in: Dependence Modeling
publication date: 2022-02-22T00:00:00Z
Mathematics Subject Classification ID: 62N02
Mathematics Subject Classification ID: 62E20
Mathematics Subject Classification ID: 62G07
Mathematics Subject Classification ID: 62G08
Mathematics Subject Classification ID: 62G20
Mathematics Subject Classification ID: 62P10
zbMATH DE Number: 7478930
zbMATH Keywords: asymptotic normality
zbMATH Keywords: censored data
zbMATH Keywords: kernel smoothing
zbMATH Keywords: probability consistency
zbMATH Keywords: regression function
zbMATH Keywords: relative error
zbMATH Keywords: strong mixing
describes a project that uses: R
MaRDI profile type: Publication
full work available at URL: demo-2021-0107
OpenAlex ID: W3195719212
cites work: Statistical models based on counting processes
cites work: Nonparametric statistics for stochastic processes. Estimation and prediction.
cites work: Estimating equations for hazard ratio parameters based on correlated failure time data
cites work: Asymptotic properties of Kaplan-Meier estimator for censored dependent data
cites work: Estimating a distribution function for censored time series data
cites work: The functional central limit theorem for strongly mixing processes
cites work: Q5822308
cites work: Non‐parametric Regression with Dependent Censored Data
cites work: Q3643290
cites work: Q3125064
cites work: Nonlinear time series. Nonparametric and parametric methods
cites work: On nonparametric estimation of the regression function under random censorship model
cites work: Kernel regression uniform rate estimation for censored data under \(\alpha\)-mixing condition
cites work: Central limit theorem for the kernel estimator of the regression function for censored time series
cites work: Local least product relative error estimation for varying coefficient multiplicative regression model
cites work: Nonlinear autoregressive processes
cites work: Relative error prediction via kernel regression smoothers
cites work: Nonparametric Estimation from Incomplete Observations
cites work: Nonparametric relative regression under random censorship model
cites work: Estimation with correlated censored survival data with missing covariates
cites work: Survival analysis. Techniques for censored and truncated data.
cites work: Relative-error prediction
cites work: Asymptotic theory of weakly dependent stochastic processes
cites work: Remarks on Some Nonparametric Estimates of a Density Function
cites work: Q4727203
cites work: Statistical Analysis of Financial Data in S-Plus
DOI: 10.1515/DEMO-2021-0107
description: scientific article; zbMATH DE number 7478930