Budget constrained model selection for multiple linear regression

DOI10.1080/03610918.2021.1991956OpenAlexW3206765327MaRDI QIDQ6141733

Justin R. Chimka, Ronald L. Rardin, Unnamed Author

Publication date: 23 January 2024

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2021.1991956

zbMATH Keywords

variable selectionmultiple linear regressionbudgetMINLPanalytics

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

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• Best subset selection via a modern optimization lens
• Algorithm for cardinality-constrained quadratic optimization
• Wrappers for feature subset selection
• Mixed integer quadratic optimization formulations for eliminating multicollinearity based on variance inflation factor
• OR Forum—An Algorithmic Approach to Linear Regression
• Lasso with convex loss: Model selection consistency and estimation
• Branch and Bound Experiments in Convex Nonlinear Integer Programming
• Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
• Quickly variable selection for varying coefficient models with missing response at random
• A new look at the statistical model identification

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