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Robustly fitting Gaussian graphical models : the R-package robFitConGraph

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dc.contributor.authorVogel, Daniel
dc.contributor.authorWatt, Stuart J.
dc.contributor.authorWiedemann, Anna
dc.contributor.institutionUniversity of Aberdeen.Physicsen
dc.date.accessioned2023-08-04T08:39:00Z
dc.date.available2023-08-04T08:39:00Z
dc.date.issued2022-12-01
dc.description18 pages, 6 figures, 3 tables Subjects: Methodology (stat.ME); Computation (stat.CO) MSC classes: 62H22, 62H15 ACM classes: G.3en
dc.format.extent19
dc.format.extent594914
dc.identifier220072382
dc.identifier25d24a4a-50d9-46ff-9d2f-5e54d02c6fbd
dc.identifier.citationVogel, D, Watt, S J & Wiedemann, A 2022 'Robustly fitting Gaussian graphical models : the R-package robFitConGraph' ArXiv. https://doi.org/10.48550/arXiv.2204.04291en
dc.identifier.doi10.48550/arXiv.2204.04291
dc.identifier.otherArXiv: http://arxiv.org/abs/2204.04291v1
dc.identifier.otherORCID: /0000-0002-6360-4077/work/189639845
dc.identifier.urihttps://hdl.handle.net/2164/21383
dc.identifier.urlhttp://arxiv.org/abs/2204.04291v1en
dc.language.isoeng
dc.publisherArXiv
dc.subjectcovariance selection modelen
dc.subjectdeviance testen
dc.subjectM-estimatoren
dc.subjectmusic performance anxietyen
dc.subjectpartial correlationen
dc.subjectQC Physicsen
dc.subjectQA Mathematicsen
dc.subject.lccQCen
dc.subject.lccQAen
dc.titleRobustly fitting Gaussian graphical models : the R-package robFitConGraphen
dc.typePreprinten

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