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dc.contributor.author
Zhou, Shuheng
dc.contributor.author
Rütimann, Philipp
dc.contributor.author
Xu, Min
dc.contributor.author
Bühlmann, Peter
dc.date.accessioned
2017-06-09T16:50:36Z
dc.date.available
2017-06-09T16:50:36Z
dc.date.issued
2011-10
dc.identifier.issn
1532-4435
dc.identifier.issn
1533-7928
dc.identifier.uri
http://hdl.handle.net/20.500.11850/40096
dc.language.iso
en
dc.publisher
Sparc
dc.subject
Graphical model selection
dc.subject
Covariance estimation
dc.subject
Lasso
dc.subject
Nodewise regression
dc.subject
Thresholding
dc.title
High-dimensional covariance estimation based on Gaussian graphical models
dc.type
Journal Article
ethz.journal.title
Journal of Machine Learning Research
ethz.journal.volume
12
ethz.journal.abbreviated
J. mach. learn. res.
ethz.pages.start
2975
ethz.pages.end
3026
ethz.notes
Submitted 9 October 2011, Revised 6 November 2011, Published 10 November 2011.
ethz.identifier.wos
ethz.identifier.nebis
004198461
ethz.publication.status
published
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich, direkt::00012 - Lehre und Forschung, direkt::00007 - Departemente, direkt::02000 - Departement Mathematik / Department of Mathematics::02537 - Seminar für Statistik (SfS) / Seminar for Statistics (SfS)::03502 - Bühlmann, Peter L.
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich, direkt::00012 - Lehre und Forschung, direkt::00007 - Departemente, direkt::02000 - Departement Mathematik / Department of Mathematics::02537 - Seminar für Statistik (SfS) / Seminar for Statistics (SfS)::03502 - Bühlmann, Peter L.
ethz.date.deposited
2017-06-09T16:50:56Z
ethz.source
ECIT
ethz.identifier.importid
imp59364e8fe3da951340
ethz.ecitpid
pub:67217
ethz.eth
yes
ethz.availability
Metadata only
ethz.rosetta.installDate
2017-07-12T16:36:05Z
ethz.rosetta.lastUpdated
2017-11-01T13:32:49Z
ethz.rosetta.versionExported
true
ethz.COinS
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