Direct determination of smoothing parameter for penalized spline regression

DOI10.1155/2014/203469zbMath1307.62119OpenAlexW1967275449WikidataQ59061338 ScholiaQ59061338MaRDI QIDQ2260575

Takuma Yoshida

Publication date: 11 March 2015

Published in: Journal of Probability and Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2014/203469

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Ridge regression; shrinkage estimators (Lasso) (62J07) General nonlinear regression (62J02)

Related Items

Asymptotics and smoothing parameter selection for penalized spline regression with various loss functions

Uses Software

• KernSmooth
• SemiPar

Cites Work

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• A statistical perspective on ill-posed inverse problems (with discussion)
• Propriety of posteriors in structured additive regression models: Theory and empirical evi\-dence
• Direct generalized additive modeling with penalized likelihood.
• That BLUP is a good thing: The estimation of random effects. With comments and a rejoinder by the author
• Flexible smoothing with \(B\)-splines and penalties. With comments and a rejoinder by the authors
• Local asymptotics for regression splines and confidence regions
• Smoothing and mixed models
• A note on smoothing parameter selection for penalized spline smoothing
• On the asymptotics of penalized spline smoothing
• Some Asymptotic Results on Generalized Penalized Spline Smoothing
• Smoothing Parameter Selection for a Class of Semiparametric Linear Models
• An Effective Bandwidth Selector for Local Least Squares Regression
• Asymptotic properties of penalized spline estimators
• Fast Stable Direct Fitting and Smoothness Selection for Generalized Additive Models
• On the asymptotics of penalized splines
• Inference in Generalized Additive Mixed Models by Using Smoothing Splines
• Semiparametric Regression
• Asymptotics for Penalized Additive <i>B</i>-spline Regression
• Theory for penalised spline regression
• Asymptotics for penalised splines in generalised additive models
• Stable and Efficient Multiple Smoothing Parameter Estimation for Generalized Additive Models
• A practical guide to splines.

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