Increasing the usefulness of additive spline models by knot removal

DOI10.1016/J.CSDA.2008.05.009zbMath1452.62033OpenAlexW2018019682MaRDI QIDQ1023906

Harald Binder, Willi Sauerbrei

Publication date: 16 June 2009

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2008.05.009

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Nonparametric regression and quantile regression (62G08) Density estimation (62G07) Numerical computation using splines (65D07)

Uses Software

• SemiPar
• gamair

Cites Work

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• Multivariate adaptive regression splines
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• Flexible smoothing with \(B\)-splines and penalties. With comments and a rejoinder by the authors
• Fitting additive models to regression data. Diagnostics and alternative views
• Free-Knot Spline Smoothing for Functional Data
• A COMPARISON OF MIXED MODEL SPLINES FOR CURVE FITTING
• Flexible Parsimonious Smoothing and Additive Modeling
• Polychotomous Regression
• Semiparametric Regression
• Free-Knot Polynomial Splines with Confidence Intervals
• Spatially Adaptive Regression Splines and Accurate Knot Selection Schemes
• The Estimation of Prediction Error
• Stable and Efficient Multiple Smoothing Parameter Estimation for Generalized Additive Models
• A practical guide to splines.

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