Enhancement of spatially adaptive smoothing splines via parameterization of smoothing parameters

DOI10.1016/j.csda.2010.08.008zbMath1284.62261OpenAlexW2035476725MaRDI QIDQ2445811

Hee-Seok Oh, Dongik Jang

Publication date: 14 April 2014

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

Full work available at URL: https://doi.org/10.1016/j.csda.2010.08.008

zbMATH Keywords

nonparametric regressionsmoothing parameteradaptive thinningblock risk estimation

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08)

Related Items

Adaptive penalized splines for data smoothing ⋮ Identifying local smoothness for spatially inhomogeneous functions ⋮ Multidimensional Adaptive P-Splines with Application to Neurons' Activity Studies

Uses Software

• gss

Cites Work

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• Multivariate adaptive regression splines
• Smoothing noisy data with spline functions: Estimating the correct degree of smoothing by the method of generalized cross-validation
• A comparison of regression spline smoothing procedures
• Adaptive thinning for bivariate scattered data
• Improved smoothing spline regression by combining estimates of different smoothness
• Multiresolution methods in scattered data modelling.
• Smoothing Parameter Selection in Nonparametric Regression Using an Improved Akaike Information Criterion
• Spatially adaptive smoothing splines
• Smoothing spline ANOVA models

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