Fitting smoothing splines to data from multiple sources

DOI10.1080/03610929408831346zbMath0825.62173OpenAlexW2078120714MaRDI QIDQ4843827

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Publication date: 17 August 1995

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

Full work available at URL: https://doi.org/10.1080/03610929408831346

zbMATH Keywords

smoothing splinegeneralized cross validationgeneralized maximum likelihoodweighting parameter

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

• A comparison of generalized cross validation and modified maximum likelihood for estimating the parameters of a stochastic process
• A comparison of GCV and GML for choosing the smoothing parameter in the generalized spline smoothing problem
• From Stein's unbiased risk estimates to the method of generalized cross- validation
• Asymptotic optimality of \(C_ L\) and generalized cross-validation in ridge regression with application to spline smoothing
• Asymptotic optimality for \(C_ p\), \(C_ L\), cross-validation and generalized cross-validation: Discrete index set
• Approximation of method of regularization estimators
• Smoothing noisy data with spline functions: Estimating the correct degree of smoothing by the method of generalized cross-validation
• Spline smoothing with an estimated order parameter
• Maximum likelihood estimation of models for residual covariance in spatial regression
• How Far Are Automatically Chosen Regression Smoothing Parameters From Their Optimum?
• A Correspondence Between Bayesian Estimation on Stochastic Processes and Smoothing by Splines

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