M-estimation and model identification based on double SCAD penalization

DOI10.1080/03610926.2017.1400055OpenAlexW2768904594MaRDI QIDQ5075480

Neng-Hui Zhu, Jian-Hua Hu

Publication date: 16 May 2022

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610926.2017.1400055

zbMATH Keywords

variable selectionrobust estimationadditive modelstructure identificationB-spline approximation

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Asymptotic properties of nonparametric inference (62G20) Nonparametric estimation (62G05)

Cites Work

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• Nearly unbiased variable selection under minimax concave penalty
• The Adaptive Lasso and Its Oracle Properties
• A robust penalized estimation for identification in semiparametric additive models
• Identification for semiparametric varying coefficient partially linear models
• Variable selection in semiparametric regression analysis for longitudinal data
• Spline-backfitted kernel smoothing of partially linear additive model
• Structured variable selection and estimation
• Variable selection in nonparametric additive models
• \(M\)-estimation of linear models with dependent errors
• High-dimensional additive modeling
• Bivariate tensor-product \(B\)-splines in a partly linear model
• Variable selection of varying coefficient models in quantile regression
• New efficient estimation and variable selection methods for semiparametric varying-coefficient partially linear models
• Robust estimation for partially linear models with large-dimensional covariates
• Robust group non-convex estimations for high-dimensional partially linear models
• Identification of Partially Linear Structure in Additive Models with an Application to Gene Expression Prediction from Sequences
• Spline Functions
• Additive partial linear models with measurement errors
• Convergence rate of b-spline estimators of nonparametric conditional quantile functions^∗
• M-estimation and B-spline approximation for varying coefficient models with longitudinal data
• Estimating Optimal Transformations for Multiple Regression and Correlation
• A Fully Automated Bandwidth Selection Method for Fitting Additive Models
• Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
• Simultaneous structure estimation and variable selection in partial linear varying coefficient models for longitudinal data
• Robust Statistics
• A practical guide to splines.

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