Variable selection by searching for good subsets

DOI10.37920/sasj.2023.57.1.4zbMath1524.62357OpenAlexW4385356662MaRDI QIDQ6112087

J. H. Venter, P. J. de Jongh

Publication date: 7 July 2023

Published in: South African Statistical Journal (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.37920/sasj.2023.57.1.4

zbMATH Keywords

subset selectionlogistic regressionlinear regressionrobust regressionvariable selectionvariable importancegood subsets

Mathematics Subject Classification ID

Generalized linear models (logistic models) (62J12)

Cites Work

• Unnamed Item
• Estimating the dimension of a model
• Using random subspace method for prediction and variable importance assessment in linear regression
• Robust VIF regression with application to variable selection in large data sets
• Variable selection – A review and recommendations for the practicing statistician
• VIF Regression: A Fast Regression Algorithm for Large Data
• Controlling Variable Selection by the Addition of Pseudovariables

This page was built for publication: Variable selection by searching for good subsets