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Titel:

Robust graphical modeling with t-distributions

Dokumenttyp:
Zeitschriftenaufsatz
Autor(en):
Finegold, Michael A.; Drton, Mathias
Abstract:
Graphical Gaussian models have proven to be useful tools for exploring network structures based on multivariate data. Applications to studies of gene expression have generated substantial interest in these models, and resulting recent progress includes the development of fitting methodology involving penalization of the likelihood function. In this paper we advocate the use of the multivariate t and related distributions for more robust inference of graphs. In particular, we demonstrate that pen...     »
Dewey Dezimalklassifikation:
510 Mathematik
Kongresstitel:
25th Conference on Uncertainty in Artificial Intelligence
Kongress / Zusatzinformationen:
June 18 - 21, 2009, Montreal Quebec, CAN
Zeitschriftentitel:
UAI '09 (Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence)
Jahr:
2009
Seitenangaben Beitrag:
169–176
Sprache:
en
Volltext / DOI:
doi:10.5555/1795114.1795135
Print-ISSN:
978-0-9749039-5-8
Format:
Text
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