Weighted composite quantile regression for partially linear varying coefficient models

DOI10.1080/03610926.2017.1366522OpenAlexW2750151687MaRDI QIDQ5154052

Rong Jiang, Zhan-Gong Zhou, Wei-Min Qian

Publication date: 1 October 2021

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

Full work available at URL: https://doi.org/10.1080/03610926.2017.1366522

zbMATH Keywords

variable selectionweighted composite quantile regressionpartially linear varying coefficient models

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Asymptotic properties of nonparametric inference (62G20)

Related Items (5)

Composite quantile regression for heteroscedastic partially linear varying-coefficient models with missing censoring indicators ⋮ Robust estimation for partial functional linear regression models based on FPCA and weighted composite quantile regression ⋮ Empirical likelihood in varying-coefficient quantile regression with missing observations ⋮ Estimation in partial linear model with spline modal function ⋮ Composite quantile regression for massive datasets

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