Fitting noisy data using cross-validated cubic smoothing splines

DOI10.1080/03610918808812668zbMath0695.62114OpenAlexW1994618542MaRDI QIDQ3471448

Rajit Gadh, Stephen B. Pope

Publication date: 1988

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918808812668

zbMATH Keywords

cubic splinecross validationrandom noisesmoothing parameter

Mathematics Subject Classification ID

Nonparametric estimation (62G05)

Related Items

LES/PDF for premixed combustion in the DNS limit ⋮ Point data reconstruction and smoothing using cubic splines and clusterization ⋮ Data-driven closures for stochastic dynamical systems

Uses Software

• CUBGCV

Cites Work

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