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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...

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Detalhes bibliográficos
Publicado no:Biostatistics
Main Authors: Dondelinger, Frank, Mukherjee, Sach
Formato: Artigo
Idioma:Inglês
Publicado em: Oxford University Press 2018
Assuntos:
Acesso em linha: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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