Fitting very large sparse Gaussian graphical models
type: Item
instance of: scholarly article
title: Fitting very large sparse Gaussian graphical models
zbMATH Open document ID: 1255.62052
author: F. R. De Hoog
author: H. T. Kiiveri
published in: Computational Statistics and Data Analysis
publication date: 2012-12-30T00:00:00Z
Mathematics Subject Classification ID: 62F10
Mathematics Subject Classification ID: 65C60
Mathematics Subject Classification ID: 05C90
zbMATH DE Number: 6119703
zbMATH Keywords: covariance selection
zbMATH Keywords: gene networks
zbMATH Keywords: graphical models
zbMATH Keywords: high dimensional
zbMATH Keywords: large scale optimisation
zbMATH Keywords: limited memory quasi-Newton
describes a project that uses: L-BFGS
describes a project that uses: Cliquer
describes a project that uses: tn
describes a project that uses: symrcm
describes a project that uses: gRc
describes a project that uses: glmnet
MaRDI profile type: Publication
full work available at URL: j.csda.2012.02.007
OpenAlex ID: W2060876329
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DOI: 10.1016/J.CSDA.2012.02.007
description: scientific article; zbMATH DE number 6119703