Quantile regression for robust inference on varying coefficient partially nonlinear models

DOI10.1016/j.jkss.2017.12.002zbMath1390.62085OpenAlexW2778155684MaRDI QIDQ1747095

Jing Yang, Fang Lu, Hu Yang

Publication date: 3 May 2018

Published in: Journal of the Korean Statistical Society (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jkss.2017.12.002

zbMATH Keywords

robustnessasymptotic propertiesquantile regressionvarying coefficient partially nonlinear models

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Asymptotic properties of nonparametric inference (62G20) Nonparametric robustness (62G35)

Related Items

Adjusted empirical likelihood inferences for varying coefficient partially non linear models with endogenous covariates ⋮ Orthogonality-based empirical likelihood inference for varying-coefficient partially nonlinear model with longitudinal data ⋮ Statistical inferences for varying coefficient partially non linear model with missing covariates ⋮ Robust estimation and variable selection for varying-coefficient partially nonlinear models based on modal regression

Uses Software

• Arc_Mat

Cites Work

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