Adaptive penalized splines for data smoothing

DOI10.1016/j.csda.2016.10.022zbMath1466.62223OpenAlexW2546844471MaRDI QIDQ1658463

Yongmiao Hong, Lianqiang Yang

Publication date: 14 August 2018

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

Full work available at URL: https://doi.org/10.1016/j.csda.2016.10.022

zbMATH Keywords

adaptivitynonparametric regressionpenalized splinesdata smoothinglocal penalty

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Nonparametric regression and quantile regression (62G08)

Related Items (6)

Adaptive local polynomial estimations for heterogeneously variational regression functions ⋮ Estimating functions and derivatives via adaptive penalized splines ⋮ Geometrically designed variable knot splines in generalized (non-)linear models ⋮ Lévy Adaptive B-spline Regression via Overcomplete Systems ⋮ Adaptive smoothing spline estimator for the function-on-function linear regression model ⋮ Adaptive spline fitting with particle swarm optimization

Uses Software

• fda (R)
• gss
• AdaptFitOS
• SemiPar

Cites Work

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