An entropy-based approach for a robust least squares spline approximation

DOI10.1016/J.CAM.2024.115773WikidataQ130116754 ScholiaQ130116754MaRDI QIDQ6489280

Domenico Giordano, Giorgia Rubino, Luigi Brugnano, Felice Iavernaro

Publication date: 19 April 2024

Published in: Journal of Computational and Applied Mathematics (Search for Journal in Brave)

zbMATH Keywords

entropyB-splinesrobust regressionoutliers detectionweighted least squares approximationdata smoothing

Mathematics Subject Classification ID

Numerical smoothing, curve fitting (65D10) Spline approximation (41A15) Measures of information, entropy (94A17)

Cites Work

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• Local Regression and Likelihood
• Robust linear regression: A review and comparison
• Maximal‐entropy driven determination of weights in least‐square approximation
• AA-forecast: anomaly-aware forecast for extreme events
• Spline based Hermite quasi-interpolation for univariate time series

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