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Partial Correlation Estimation by Joint Sparse Regression Models
In this paper, we propose a computationally efficient approach —space(Sparse PArtial Correlation Estimation)— for selecting non-zero partial correlations under the high-dimension-low-sample-size setting. This method assumes the overall sparsity of the partial correlation matrix and employs sparse re...
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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/PMC2770199/ https://ncbi.nlm.nih.gov/pubmed/19881892 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1198/jasa.2009.0126 |
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