Nonparametric quantile regression estimation for functional data with responses missing at random

DOI10.1007/S00184-020-00769-ZzbMath1455.62090OpenAlexW3011861440MaRDI QIDQ2202046

Jiang Du, Deng-Ke Xu

Publication date: 17 September 2020

Published in: Metrika (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00184-020-00769-z

zbMATH Keywords

asymptotic normalityquantile regressionmissing at randomfunctional data analysisinverse probability weighting estimator

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Asymptotic properties of nonparametric inference (62G20) Functional data analysis (62R10) Missing data (62D10)

Uses Software

• fda (R)

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Inference for functional data with applications
• Functional partially linear quantile regression model
• Nonparametric kernel regression estimation for functional stationary ergodic data: Asymptotic properties
• Estimation in functional linear quantile regression
• Prediction in functional linear regression
• Estimation in partially linear models with missing responses at random
• Quantile regression in partially linear varying coefficient models
• Estimation and variable selection for partially functional linear models
• On the asymptotics of constrained \(M\)-estimation
• A nonparametric inverse probability weighted estimation for functional data with missing response data at random
• Nonparametric regression estimation for functional stationary ergodic data with missing at random
• Varying-coefficient partially functional linear quantile regression models
• Functional data analysis.
• Semi-functional partial linear regression
• Mean estimation with data missing at random for functional covariables
• VARIABLE SELECTION FOR PARTIALLY LINEAR VARYING COEFFICIENT QUANTILE REGRESSION MODEL
• Conditional mode estimation for functional stationary ergodic data with responses missing at random
• Regression Quantiles
• Asymptotic Statistics
• Nonparametric Estimation of Mean Functionals with Data Missing at Random
• Empirical likelihood for estimating equations with nonignorably missing data
• Quantile regression when the covariates are functions
• Testing and estimation in marker‐set association study using semiparametric quantile regression kernel machine

This page was built for publication: Nonparametric quantile regression estimation for functional data with responses missing at random