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Title:

Robust graphical modeling with t-distributions

Document type:
Zeitschriftenaufsatz
Author(s):
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 Decimal Classification:
510 Mathematik
Congress title:
25th Conference on Uncertainty in Artificial Intelligence
Congress / additional information:
June 18 - 21, 2009, Montreal Quebec, CAN
Journal title:
UAI '09 (Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence)
Year:
2009
Pages contribution:
169–176
Language:
en
Fulltext / DOI:
doi:10.5555/1795114.1795135
Print-ISSN:
978-0-9749039-5-8
Format:
Text
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