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The joint graphical lasso for inverse covariance estimation across multiple classes
We consider the problem of estimating multiple related Gaussian graphical models from a high-dimensional data set with observations belonging to distinct classes. We propose the joint graphical lasso, which borrows strength across the classes in order to estimate multiple graphical models that share...
Tallennettuna:
| Päätekijät: | , , |
|---|---|
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
2013
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4012833/ https://ncbi.nlm.nih.gov/pubmed/24817823 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/rssb.12033 |
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