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Joint Skeleton Estimation of Multiple Directed Acyclic Graphs for Heterogeneous Population
The directed acyclic graph (DAG) is a powerful tool to model the interactions of high-dimensional variables. While estimating edge directions in a DAG often requires interventional data, one can estimate the skeleton of a DAG (i.e., an undirected graph formed by removing the direction of each edge i...
Tallennettuna:
| Julkaisussa: | Biometrics |
|---|---|
| Päätekijät: | , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
2018
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6546091/ https://ncbi.nlm.nih.gov/pubmed/30081434 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/biom.12941 |
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