Robust regression via error tolerance

DOI10.1007/s10618-022-00819-2OpenAlexW4210813465MaRDI QIDQ2134056

Emilia Oikarinen, Andreas Henelius, Anton Björklund, Kimmo Kallonen, Kai Puolamäki

Publication date: 5 May 2022

Published in: Data Mining and Knowledge Discovery (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10618-022-00819-2

zbMATH Keywords

robust statisticsrobust regressionsparsityoutlier detection

Mathematics Subject Classification ID

Linear inference, regression (62J99)

Related Items (1)

SLISEMAP: supervised dimensionality reduction through local explanations

Uses Software

• UCI-ml
• MNIST
• GitHub
• EMNIST
• IMDB
• MAGSAC++

Cites Work

• High breakdown-point and high efficiency robust estimates for regression
• Robust weighted LAD regression
• The complexity and approximability of finding maximum feasible subsystems of linear relations
• Robust and sparse estimators for linear regression models
• Sparse least trimmed squares regression for analyzing high-dimensional large data sets
• Nonsingular subsampling for regression S estimators with categorical predictors
• Least Median of Squares Regression
• Robust Estimation of a Location Parameter
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