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Bayesian graph selection consistency under model misspecification
Gaussian graphical models are a popular tool to learn the dependence structure in the form of a graph among variables of interest. Bayesian methods have gained in popularity in the last two decades due to their ability to simultaneously learn the covariance and the graph. There is a wide variety of...
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| Veröffentlicht in: | Bernoulli (Andover) |
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| Hauptverfasser: | , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
2020
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8300537/ https://ncbi.nlm.nih.gov/pubmed/34305432 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3150/20-BEJ1253 |
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