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Exponential weighting and oracle inequalities for projection methods (1206.4285v1)
Published 19 Jun 2012 in math.ST and stat.TH
Abstract: We consider the problem of recovering an unknown vector from noisy data with the help of projection estimates. The goal is to find a convex combination of these estimates with the minimal risk. We study an aggregation method based on the so-called exponential weighting and provide a new upper bound for the mean square risk of this method.
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