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Multivariate sparse group lasso for the multivariate multiple linear regression with an arbitrary group structure
We propose a multivariate sparse group lasso variable selection and estimation method for data with high-dimensional predictors as well as high-dimensional response variables. The method is carried out through a penalized multivariate multiple linear regression model with an arbitrary group structur...
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| Vydáno v: | Biometrics |
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| Hlavní autoři: | , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
2015
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4479976/ https://ncbi.nlm.nih.gov/pubmed/25732839 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/biom.12292 |
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