scientific article; zbMATH DE number 7413962

DOI10.2436/20.8080.02.109zbMath1472.62110MaRDI QIDQ5158710

Stephane Canu, Mahdi Jammal, Maher Abdallah

Publication date: 26 October 2021

Title: zbMATH Open Web Interface contents unavailable due to conflicting licenses.

zbMATH Keywords

mixed integer programmingrobust optimizationlinear regressionvariable selectionstatistical learningoutlier detection

Mathematics Subject Classification ID

Ridge regression; shrinkage estimators (Lasso) (62J07) Nonparametric robustness (62G35) Linear regression; mixed models (62J05) Mixed integer programming (90C11) Learning and adaptive systems in artificial intelligence (68T05) Diagnostics, and linear inference and regression (62J20)

Cites Work

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• Best subset selection via a modern optimization lens
• The shooting S-estimator for robust regression
• Proximal alternating linearized minimization for nonconvex and nonsmooth problems
• Least trimmed squares regression, least median squares regression, and mathematical program\-ming
• Sparse least trimmed squares regression for analyzing high-dimensional large data sets
• Best subset, forward stepwise or Lasso? Analysis and recommendations based on extensive comparisons
• A survey of outlier detection methodologies
• Robust Lasso With Missing and Grossly Corrupted Observations
• Outlier Detection Using Nonconvex Penalized Regression

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