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The joint lasso: high-dimensional regression for group structured data
We consider high-dimensional regression over subgroups of observations. Our work is motivated by biomedical problems, where subsets of samples, representing for example disease subtypes, may differ with respect to underlying regression models. In the high-dimensional setting, estimating a different...
שמור ב:
| הוצא לאור ב: | Biostatistics |
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| Main Authors: | , |
| פורמט: | Artigo |
| שפה: | Inglês |
| יצא לאור: |
Oxford University Press
2018
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| נושאים: | |
| גישה מקוונת: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7868060/ https://ncbi.nlm.nih.gov/pubmed/30192903 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/biostatistics/kxy035 |
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