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Bayesian Inference of Multiple Gaussian Graphical Models

In this paper, we propose a Bayesian approach to inference on multiple Gaussian graphical models. Specifically, we address the problem of inferring multiple undirected networks in situations where some of the networks may be unrelated, while others share common features. We link the estimation of th...

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Podrobná bibliografie
Vydáno v:J Am Stat Assoc
Hlavní autoři: Peterson, Christine B., Stingo, Francesco C., Vannucci, Marina
Médium: Artigo
Jazyk:Inglês
Vydáno: 2014
Témata:
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC4465207/
https://ncbi.nlm.nih.gov/pubmed/26078481
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/01621459.2014.896806
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