Smooth supersaturated models

DOI10.1080/00949655.2013.823428zbMath1453.62037arXiv0809.4654OpenAlexW2115003979WikidataQ61855730 ScholiaQ61855730MaRDI QIDQ5219503

Ron A. Bates, Henry P. Wynn, Hugo Maruri-Aguilar

Publication date: 12 March 2020

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/0809.4654

zbMATH Keywords

splineskernel smoothingnonparametric regressionregressioncomputer experimentsalgebraic statistics

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Nonparametric regression and quantile regression (62G08) Design of statistical experiments (62K99) Algebraic statistics (62R01)

Uses Software

• TOMS659

Cites Work

• Optimal experimental designs for the B-spline regression
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• Design and analysis of computer experiments. With comments and a rejoinder by the authors
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• A Smoothest Curve Approximation
• ALL-BIAS DESIGNS FOR POLYNOMIAL SPLINE REGRESSION MODELS
• Algorithm 659
• Generalised confounding with Grobner bases
• Soap Film Smoothing
• Spline Smoothing over Difficult Regions
• A Correspondence Between Bayesian Estimation on Stochastic Processes and Smoothing by Splines
• Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates
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