Penalized quadratic inference functions for semiparametric varying coefficient partially linear models with longitudinal data

DOI10.1016/j.jmva.2014.07.015zbMath1360.62193OpenAlexW2049696899MaRDI QIDQ458634

Chunling Liu, Ruiqin Tian, Liu Gen Xue

Publication date: 8 October 2014

Published in: Journal of Multivariate Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jmva.2014.07.015

zbMATH Keywords

longitudinal datavariable selectionquadratic inference functionssemiparametric varying coefficient partially linear models

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Asymptotic properties of nonparametric inference (62G20) Linear regression; mixed models (62J05)

Related Items (7)

Variable selection for semiparametric varying coefficient partially linear model based on modal regression with missing data ⋮ Orthogonality-based empirical likelihood inference for varying-coefficient partially nonlinear model with longitudinal data ⋮ Variable selection for longitudinal varying coefficient errors-in-variables models ⋮ Unified variable selection for varying coefficient models with longitudinal data ⋮ Model estimation and selection for partial linear varying coefficient EV models with longitudinal data ⋮ Penalized quadratic inference function-based variable selection for generalized partially linear varying coefficient models with longitudinal data ⋮ QR decomposition based orthogonality estimation for partially linear models with longitudinal data

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