Some characteristics on the selection of spline smoothing parameter

DOI10.1080/03610926.2017.1317808zbMath1387.62048OpenAlexW2606724784MaRDI QIDQ4634819

Chun-Shu Chen, Yi-Tsz Huang

Publication date: 11 April 2018

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

Full work available at URL: https://doi.org/10.1080/03610926.2017.1317808

zbMATH Keywords

smoothing splinenonparametric regressionStein's unbiased risk estimateselection variability

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Numerical smoothing, curve fitting (65D10)

Uses Software

• gss

Cites Work

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• An improved \(C_p\) criterion for spline smoothing
• A comparison of GCV and GML for choosing the smoothing parameter in the generalized spline smoothing problem
• Asymptotic optimality of \(C_ L\) and generalized cross-validation in ridge regression with application to spline smoothing
• Oscillation matrices with spline smoothing
• Smoothing noisy data with spline functions: Estimating the correct degree of smoothing by the method of generalized cross-validation
• Heuristics of instability and stabilization in model selection
• On the efficiency of selection criteria in spline regression
• Selection criteria for scatterplot smoothers
• From finite sample to asymptotics: a geometric bridge for selection criteria in spline regression
• Smoothing Parameter Selection for a Class of Semiparametric Linear Models
• The Signal Extraction Approach to Nonlinear Regression and Spline Smoothing
• Smoothers and theC_p, Generalized Maximum Likelihood, and Extended Exponential Criteria
• Some Comments on C P
• Smoothing spline ANOVA models

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