APPLICATION OF A MIXED INTEGER NONLINEAR PROGRAMMING APPROACH TO VARIABLE SELECTION IN LOGISTIC REGRESSION
type: Item
instance of: scholarly article
title: APPLICATION OF A MIXED INTEGER NONLINEAR PROGRAMMING APPROACH TO VARIABLE SELECTION IN LOGISTIC REGRESSION
zbMATH Open document ID: 1423.90156
author: Kimura Keiji
published in: Journal of the Operations Research Society of Japan
publication date: 2019-09-12T00:00:00Z
Mathematics Subject Classification ID: 90C11
Mathematics Subject Classification ID: 90C30
Mathematics Subject Classification ID: 62J05
zbMATH DE Number: 7104497
zbMATH Keywords: optimization
zbMATH Keywords: mixed integer nonlinear programming
zbMATH Keywords: SCIP optimization suite
zbMATH Keywords: Akaike information criterion
zbMATH Keywords: logistic regression
zbMATH Keywords: variable selection
describes a project that uses: SCIP
MaRDI profile type: Publication
full work available at URL: jorsj.62.15
OpenAlex ID: W2914173625
Wikidata QID: Q128472016
DOI: 10.15807/JORSJ.62.15
description: scientific article; zbMATH DE number 7104497