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Summary. In high dimensional model selection problems, penalized least square approaches have been extensively used. The paper addresses the question of both robustness and efficiency of penalized model selection methods and proposes a data‐driven weighted linear combination of convex loss functions, together with weighted L1‐penalty. It is completely data adaptive and does not require prior knowledge...
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