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Title:

Robust graphical modeling of gene networks using classical and alternative t-distributions

Document type:
Zeitschriftenaufsatz
Author(s):
Finegold, Michael; 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 multivariate t-distributions for more robust inference of graphs. In particular, we demonstrate that penalized likelihoo...     »
Keywords:
EM algorithm, graphical model, Markov chain Monte Carlo, multivariate t-distribution, penalized likelihood, robust inference
Dewey Decimal Classification:
510 Mathematik
Journal title:
The Annals of Applied Statistics
Year:
2011
Journal volume:
5
Year / month:
2011-07
Quarter:
3. Quartal
Month:
Jul
Journal issue:
2A
Pages contribution:
1057-1080
Language:
en
Fulltext / DOI:
doi:10.1214/10-aoas410
WWW:
Project Euclid
Publisher:
Institute of Mathematical Statistics
E-ISSN:
1932-6157
Date of publication:
13.07.2011
Format:
Text
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