Smoothed empirical likelihood analysis of partially linear quantile regression models with missing response variables
type: Item
instance of: scholarly article
title: Smoothed empirical likelihood analysis of partially linear quantile regression models with missing response variables
zbMATH Open document ID: 1443.62103
author: Xiaofeng Lv
author: Rui Li
published in: AStA. Advances in Statistical Analysis
publication date: 2018-11-08T00:00:00Z
Mathematics Subject Classification ID: 62G08
Mathematics Subject Classification ID: 62G05
Mathematics Subject Classification ID: 62G20
zbMATH DE Number: 6975347
zbMATH Keywords: smoothed empirical likelihood
zbMATH Keywords: partially linear quantile regression
zbMATH Keywords: missing at random
MaRDI profile type: Publication
full work available at URL: s10182-013-0210-4
OpenAlex ID: W1967672047
cites work: Efficient Estimation of Models with Conditional Moment Restrictions Containing Unknown Functions
cites work: Censored regression quantiles with endogenous regressors
cites work: Global nonparametric estimation of conditional quantile functions and their derivatives
cites work: Nonparametric estimates of regression quantiles and their local Bahadur representation
cites work: On average derivative quantile regression
cites work: SEMIPARAMETRIC ESTIMATION OF A PARTIALLY LINEAR CENSORED REGRESSION MODEL
cites work: Nonparametric Estimation of Mean Functionals with Data Missing at Random
cites work: Q4869736
cites work: Empirical likelihood for nonlinear models with missing responses
cites work: On semiparametric \(M\)-estimation in single-index regression
cites work: Q4322398
cites work: Wild bootstrap for quantile regression
cites work: Bootstrapping Quantile Regression Estimators
cites work: Optimal smoothing in single-index models
cites work: Q4947007
cites work: A Smoothed Maximum Score Estimator for the Binary Response Model
cites work: Bootstrap Methods for Median Regression Models
cites work: Bootstrap critical values for tests based on the smoothed maximum score estimator
cites work: Robust Tests for Heteroscedasticity Based on Regression Quantiles
cites work: Goodness of Fit and Related Inference Processes for Quantile Regression
cites work: Quantile smoothing splines
cites work: EFFICIENT SEMIPARAMETRIC ESTIMATION OF A PARTIALLY LINEAR QUANTILE REGRESSION MODEL
cites work: Endogeneity in quantile regression models: a control function approach
cites work: Empirical likelihood-based inferences for partially linear models with missing covariates
cites work: Partially linear models with missing response variables and error-prone covariates
cites work: Nonparametric curve estimation with missing data: a general empirical process approach
cites work: Empirical likelihood ratio confidence intervals for a single functional
cites work: Empirical likelihood ratio confidence regions
cites work: Empirical likelihood for linear models
cites work: Empirical likelihood and general estimating equations
cites work: Empirical likelihood inference for median regression models for censored survival data
cites work: Empirical Likelihood for Partially Linear Models with Missing Responses: The Fixed Design Case
cites work: Semiparametric estimation of binary response models with endogenous regressors
cites work: Q4727203
cites work: Bootstrap confidence bands and partial linear quantile regression
cites work: SMOOTHED EMPIRICAL LIKELIHOOD METHODS FOR QUANTILE REGRESSION MODELS
cites work: Semiparametric Regression Analysis With Missing Response at Random
cites work: Empirical likelihood-based inference under imputation for missing response data
cites work: Quantile regression in partially linear varying coefficient models
cites work: Missing Time-Dependent Covariates in Human Immunodeficiency Virus Dynamic Models
cites work: Local Linear Quantile Regression
cites work: Bayesian analysis of a Tobit quantile regression model
cites work: Empirical Likelihood Inference for Longitudinal Data with Missing Response Variables and Error-Prone Covariates
cites work: Estimating Equations Inference With Missing Data
DOI: 10.1007/S10182-013-0210-4
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description: scientific article; zbMATH DE number 6975347