Quantile regression of partially linear single-index model with missing observations

DOI10.1080/02331888.2021.1883613zbMath1465.62129OpenAlexW3133325554MaRDI QIDQ4987643

Yu Shen, Baohua Wang, Han-Ying Liang

Publication date: 3 May 2021

Published in: Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02331888.2021.1883613

zbMATH Keywords

asymptotic normalityquantile regressionmissing at randomvariable selectionpartially linear single-index model

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Ridge regression; shrinkage estimators (Lasso) (62J07) Missing data (62D10)

Related Items (3)

Bayesian analysis in single-index quantile regression with missing observation ⋮ Empirical likelihood in single-index quantile regression with high dimensional and missing observations ⋮ Empirical likelihood in single-index partially functional linear model with missing observations

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