Variable selection for semiparametric varying-coefficient partially linear models with missing response at random

DOI10.1007/S10114-011-9200-1zbMath1225.62061OpenAlexW2094738235MaRDI QIDQ644651

Pei Xin Zhao, Liu Gen Xue

Publication date: 4 November 2011

Published in: Acta Mathematica Sinica. English Series (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10114-011-9200-1

zbMATH Keywords

missing dataSCAD

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Asymptotic properties of nonparametric inference (62G20) Probabilistic models, generic numerical methods in probability and statistics (65C20)

Related Items (5)

Bayesian quantile semiparametric mixed-effects double regression models ⋮ Variable selection for semiparametric varying coefficient partially linear model based on modal regression with missing data ⋮ Empirical likelihood based diagnostics for heteroscedasticity in semiparametric varying-coefficient partially linear models with missing responses ⋮ Semiparametric empirical likelihood tests in varying coefficient partially linear models with repeated measurements ⋮ Variable Selection for Semiparametric Varying Coefficient Partially Linear Errors-in-Variables (EV) Model with Missing Response

Cites Work

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• Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
• Empirical Likelihood for a Varying Coefficient Model With Longitudinal Data
• Variable Selection in Nonparametric Varying-Coefficient Models for Analysis of Repeated Measurements

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