Variable and boundary selection for functional data via multiclass logistic regression modeling
type: Item
instance of: scholarly article
title: Variable and boundary selection for functional data via multiclass logistic regression modeling
zbMATH Open document ID: 1506.62127
author: Hidetoshi Matsui
published in: Computational Statistics and Data Analysis
publication date: 2018-11-23T00:00:00Z
full work available at URL: http://hdl.handle.net/2324/26121
Mathematics Subject Classification ID: 62-08
Mathematics Subject Classification ID: 62J12
Mathematics Subject Classification ID: 62R10
zbMATH DE Number: 6984046
zbMATH Keywords: functional data analysis
zbMATH Keywords: Lasso
zbMATH Keywords: logistic regression model
zbMATH Keywords: model selection
zbMATH Keywords: regularization
describes a project that uses: fda (R)
describes a project that uses: glmnet
MaRDI profile type: Publication
OpenAlex ID: W1981426103
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DOI: 10.1016/J.CSDA.2014.04.015
description: scientific article; zbMATH DE number 6984046