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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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Shranjeno v:
Bibliografske podrobnosti
izdano v:Biostatistics
Main Authors: Dondelinger, Frank, Mukherjee, Sach
Format: Artigo
Jezik:Inglês
Izdano: Oxford University Press 2018
Teme:
Online dostop: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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