A Comparison of Robust Model Choice Criteria Within a Metalearning Study

DOI10.1007/978-3-030-48814-7_7zbMath1455.62089OpenAlexW3042274331MaRDI QIDQ5141232

Petra Vidnerová, Yeşim Güney, Jan Kalina

Publication date: 18 December 2020

Published in: Analytical Methods in Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-030-48814-7_7

zbMATH Keywords

linear regressionrobust estimationautomatic method selectionrobust Akaike criterion

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Nonparametric robustness (62G35) Linear regression; mixed models (62J05)

Uses Software

• UCI-ml
• robustbase
• WRS2
• GitHub
• RobStatTM

Cites Work

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• Metalearning
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• A Feature Subset Selection Algorithm Automatic Recommendation Method
• A comparison of robust versions of the AIC based on M-, S- and MM-estimators
• Kernel Based Learning Methods: Regularization Networks and RBF Networks
• Robust Statistics

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