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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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Podrobná bibliografie
Vydáno v:Biostatistics
Hlavní autoři: Dondelinger, Frank, Mukherjee, Sach
Médium: Artigo
Jazyk:Inglês
Vydáno: Oxford University Press 2018
Témata:
On-line přístup: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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