Graph structured sparse subset selection

DOI10.1016/j.ins.2019.12.086zbMath1462.62364OpenAlexW2996774258WikidataQ126412702 ScholiaQ126412702MaRDI QIDQ2662712

Hyungrok Do, Seoung Bum Kim, Myun Seok Cheon

Publication date: 14 April 2021

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ins.2019.12.086

zbMATH Keywords

discrete optimizationgraph structureconstrained regressionvariable subset selection

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Statistical ranking and selection procedures (62F07) Probabilistic graphical models (62H22)

Uses Software

• OSCAR
• glmnet
• org.Hs.eg.db
• L0Learn
• hgu133a.db
• rat2302.db

Cites Work

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• Simultaneous supervised clustering and feature selection over a graph
• Incorporating Predictor Network in Penalized Regression with Application to Microarray Data
• Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
• BEST SUBSET SELECTION FOR ELIMINATING MULTICOLLINEARITY
• Sparsity and Smoothness Via the Fused Lasso
• Likelihood-Based Selection and Sharp Parameter Estimation
• Regularization and Variable Selection Via the Elastic Net
• The Discrete Dantzig Selector: Estimating Sparse Linear Models via Mixed Integer Linear Optimization
• Model Selection and Estimation in Regression with Grouped Variables
• Simultaneous Regression Shrinkage, Variable Selection, and Supervised Clustering of Predictors with OSCAR
• The Mnet method for variable selection

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