Group descent algorithms for nonconvex penalized linear and logistic regression models with grouped predictors
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Penalized regression is an attractive framework for variable selection problems. Often, variables possess a grouping structure, and the relevant selection problem is that of selecting groups, not individual variables. The group lasso has been proposed as a way... ...
