An asymptotic and empirical smoothing parameters selection method for smoothing spline ANOVA models in large samples

DOI10.1093/biomet/asaa047zbMath1462.62455arXiv2004.10271OpenAlexW3081894066MaRDI QIDQ5857983

Ping Ma, Wenxuan Zhong, Xiaoxiao Sun

Publication date: 8 April 2021

Published in: Biometrika (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2004.10271

zbMATH Keywords

asymptotic analysisgeneralized cross-validationsubsamplesmoothing parameters selectionsmoothing spline ANOVA model

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Numerical computation using splines (65D07) Applications of statistics to biology and medical sciences; meta analysis (62P10) Analysis of variance and covariance (ANOVA) (62J10)

Related Items (1)

Smoothing Splines Approximation Using Hilbert Curve Basis Selection

Uses Software

• gss

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