A scalable surrogate \(L_0\) sparse regression method for generalized linear models with applications to large scale data
type: Item
instance of: scholarly article
title: A scalable surrogate \(L_0\) sparse regression method for generalized linear models with applications to large scale data
zbMATH Open document ID: 1465.62132
author: Xiaoling Peng
author: Eric Kawaguchi
author: Marc A. Suchard
author: Gang Li
author: Ning Li
published in: Journal of Statistical Planning and Inference
publication date: 2021-05-07T00:00:00Z
Mathematics Subject Classification ID: 62J12
Mathematics Subject Classification ID: 62J07
Mathematics Subject Classification ID: 62P10
zbMATH DE Number: 7346466
zbMATH Keywords: generalized linear models
zbMATH Keywords: high-dimensional massive sample size data
zbMATH Keywords: \( L_0\) penalty
zbMATH Keywords: ridge regression
zbMATH Keywords: variable selection
describes a project that uses: covTest
MaRDI profile type: Publication
full work available at URL: j.jspi.2020.12.001
OpenAlex ID: W3112516299
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DOI: 10.1016/J.JSPI.2020.12.001
description: scientific article; zbMATH DE number 7346466