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The LASSO (least absolute shrinkage and selection operator) algorithm implies a penalty-based variable selection and regularization. It has several advantages over an approach that controls

The LASSO (least absolute shrinkage and selection operator) algorithm implies a penalty-based variable selection and regularization. It has several advantages over an approach that controls the false discovery rate. However, there are also disadvantages, please discuss them, and discuss an alternative

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