Partially linear modeling of conditional quantiles using penalized splines

DOI10.1016/j.csda.2014.02.020zbMath1506.62192OpenAlexW2083565404MaRDI QIDQ1623589

Yan Yu, Chaojiang Wu

Publication date: 23 November 2018

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2014.02.020

zbMATH Keywords

dimension reductionsemiparametric modelP-splinessingle-index modeladditive modelsmoothing parameter

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Nonparametric regression and quantile regression (62G08) Asymptotic properties of nonparametric inference (62G20)

Related Items (6)

Estimation and variable selection for quantile partially linear single-index models ⋮ Log-symmetric regression models under the presence of non-informative left- or right-censored observations ⋮ Robust MAVE through nonconvex penalized regression ⋮ Testing and estimation in marker‐set association study using semiparametric quantile regression kernel machine ⋮ An extension of log-symmetric regression models: R codes and applications ⋮ Unnamed Item

Uses Software

• fda (R)
• SemiPar

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