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Fast Bayesian inference in large Gaussian graphical models
Despite major methodological developments, Bayesian inference in Gaussian graphical models remains challenging in high dimension due to the tremendous size of the model space. This article proposes a method to infer the marginal and conditional independence structures between variables by multiple t...
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| Pubblicato in: | Biometrics |
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| Autori principali: | , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
John Wiley and Sons Inc.
2019
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6916355/ https://ncbi.nlm.nih.gov/pubmed/31009060 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/biom.13064 |
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