Quantile Regression with Left-Truncated and Right-Censored Data in a Reproducing Kernel Hilbert Space

DOI10.1080/03610926.2013.777741zbMath1320.62098OpenAlexW2045691669MaRDI QIDQ5265847

Jin-Ho Park

Publication date: 29 July 2015

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610926.2013.777741

zbMATH Keywords

truncationcensoringquantilereproducing kernel Hilbert space

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Nonparametric estimation (62G05)

Related Items (1)

Solution path for quantile regression with epsilon-insensitive loss in a reproducing kernel Hilbert space

Cites Work

• Quantile regression with an epsilon-insensitive loss in a reproducing kernel Hilbert space
• GACV for quantile smoothing splines
• Least absolute deviations estimation for the censored regression model
• Multivariate adaptive regression splines
• Optimal global rate of convergence in nonparametric regression with left-truncated and right-censored data.
• Some results on Tchebycheffian spline functions and stochastic processes
• A note on the product-limit estimator under right censoring and left truncation
• Linear Models, Random Censoring and Synthetic Data
• Linear regression with censored data
• M-estimation in censored linear models
• Least squares regression with censored data
• Censored Regression Quantiles
• Quantile Regression in Reproducing Kernel Hilbert Spaces
• Doubly Penalized Buckley–James Method for Survival Data with High‐Dimensional Covariates

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