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NETWORK EXPLORATION VIA THE ADAPTIVE LASSO AND SCAD PENALTIES
Graphical models are frequently used to explore networks, such as genetic networks, among a set of variables. This is usually carried out via exploring the sparsity of the precision matrix of the variables under consideration. Penalized likelihood methods are often used in such explorations. Yet, po...
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| Main Authors: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2009
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3105782/ https://ncbi.nlm.nih.gov/pubmed/21643444 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1214/08-AOAS215SUPP |
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