Quantile regression and variable selection for partially linear model with randomly truncated data
type: Item
instance of: scholarly article
title: Quantile regression and variable selection for partially linear model with randomly truncated data
zbMATH Open document ID: 1432.62120
author: Hong-Xia Xu
author: Zhenlong Chen
author: Guo-Liang Fan
author: Jiang-Feng Wang
published in: Statistical Papers
publication date: 2019-11-28T00:00:00Z
Mathematics Subject Classification ID: 62G08
Mathematics Subject Classification ID: 62G07
Mathematics Subject Classification ID: 62G05
Mathematics Subject Classification ID: 62J05
zbMATH DE Number: 7137932
zbMATH Keywords: quantile regression
zbMATH Keywords: left-truncated data
zbMATH Keywords: variable selection
zbMATH Keywords: SCAD
zbMATH Keywords: oracle properties
MaRDI profile type: Publication
full work available at URL: s00362-016-0867-3
OpenAlex ID: W2568922451
cites work: Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
cites work: Q4003037
cites work: On the asymptotics of constrained \(M\)-estimation
cites work: Estimation of the truncation probability in the random truncation model
cites work: Estimation of regression parameters with left truncated data
cites work: Quantile regression in varying coefficient models.
cites work: Variable selection and coefficient estimation via composite quantile regression with randomly censored data
cites work: Local Composite Quantile Regression Smoothing: An Efficient and Safe Alternative to Local Polynomial Regression
cites work: New efficient estimation and variable selection methods for semiparametric varying-coefficient partially linear models
cites work: Quantile regression with varying coefficients
cites work: Limiting distributions for \(L_1\) regression estimators under general conditions
cites work: Regression Quantiles
cites work: Asymptotic properties of a conditional quantile estimator with randomly truncated data
cites work: Asymptotic normality of conditional density estimation with left-truncated and dependent data
cites work: Kernel estimation of conditional density with truncated, censored and dependent data
cites work: Quantile regression and variable selection for the single-index model
cites work: Quantile regression and variable selection of partial linear single-index model
cites work: Weak and strong uniform consistency of kernel regression estimates
cites work: Partially linear censored quantile regression
cites work: Asymptotic properties of a nonparametric regression function estimator with randomly truncated data
cites work: The central limit theorem under random truncation
cites work: Local polynomial quasi-likelihood regression with truncated and dependent data
cites work: Estimating a distribution function with truncated data
cites work: Q5323642
cites work: Local Linear Quantile Regression
cites work: A weighted quantile regression for randomly truncated data
DOI: 10.1007/S00362-016-0867-3
description: scientific article; zbMATH DE number 7137932