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Bayesian Joint Spike-and-Slab Graphical Lasso
In this article, we propose a new class of priors for Bayesian inference with multiple Gaussian graphical models. We introduce Bayesian treatments of two popular procedures, the group graphical lasso and the fused graphical lasso, and extend them to a continuous spike-and-slab framework to allow sel...
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| Pubblicato in: | Proc Mach Learn Res |
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| Autori principali: | , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2019
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7845917/ https://ncbi.nlm.nih.gov/pubmed/33521648 |
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