A model-averaging approach for smoothing spline regression

DOI10.1080/03610918.2018.1457694OpenAlexW2801476452WikidataQ129870482 ScholiaQ129870482MaRDI QIDQ5087515

Jia-Bin Zhou, Li-Wen Xu

Publication date: 1 July 2022

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2018.1457694

zbMATH Keywords

smoothing splinenonparametric regressionbaggingcross validationsmoothing parameter

Mathematics Subject Classification ID

Approximations to statistical distributions (nonasymptotic) (62E17) General considerations in statistical decision theory (62C05)

Uses Software

• car
• SemiPar
• carData

Cites Work

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• Bagging predictors
• Smoothing parameter selection for smoothing splines: a simulation study
• Smoothing noisy data with spline functions: Estimating the correct degree of smoothing by the method of generalized cross-validation
• On the efficiency of selection criteria in spline regression
• Improved smoothing spline regression by combining estimates of different smoothness
• How Far Are Automatically Chosen Regression Smoothing Parameters From Their Optimum?
• Smoothing Parameter Selection in Nonparametric Regression Using an Improved Akaike Information Criterion
• Semiparametric Regression
• Estimation and Accuracy After Model Selection

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