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An efficient Bayesian approach for Gaussian Bayesian network structure learning
This article proposes a Bayesian computing algorithm to infer Gaussian directed acyclic graphs (DAG’s). It has the ability of escaping local modes and maintaining adequate computing speed compared to existing methods. Simulations demonstrated that the proposed algorithm has low false positives and f...
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| Veröffentlicht in: | Commun Stat Simul Comput |
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| Hauptverfasser: | , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
2017
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6433420/ https://ncbi.nlm.nih.gov/pubmed/30918419 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/03610918.2016.1143103 |
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