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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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| Publicado no: | J Am Stat Assoc |
|---|---|
| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2014
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| Assuntos: | |
| Acesso em linha: | 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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