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Efficient Bayesian Regularization for Graphical Model Selection
There has been an intense development in the Bayesian graphical model literature over the past decade; however, most of the existing methods are restricted to moderate dimensions. We propose a novel graphical model selection approach for large dimensional settings where the dimension increases with...
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| Veröffentlicht in: | Bayesian Anal |
|---|---|
| Hauptverfasser: | , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
2018
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7592715/ https://ncbi.nlm.nih.gov/pubmed/33123305 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1214/17-ba1086 |
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