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Using Bayesian Latent Gaussian Graphical Models to Infer Symptom Associations in Verbal Autopsies
Learning dependence relationships among variables of mixed types provides insights in a variety of scientific settings and is a well-studied problem in statistics. Existing methods, however, typically rely on copious, high quality data to accurately learn associations. In this paper, we develop a me...
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| Veröffentlicht in: | Bayesian Anal |
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| Hauptverfasser: | , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
2019
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7709479/ https://ncbi.nlm.nih.gov/pubmed/33273996 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1214/19-ba1172 |
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