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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2018
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7868060/ https://www.ncbi.nlm.nih.gov/pubmed/30192903 http://dx.doi.org/10.1093/biostatistics/kxy035 |