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• W2092003145 abstract "We address the statistical issue of determining the maximal spaces (maxisets) where model selection procedures attain a given rate of convergence. By considering first general dictionaries, then orthonormal bases, we characterize these maxisets in terms of approximation spaces. These results are illustrated by classical choices of wavelet model collections. For each of them, the maxisets are described in terms of functional spaces. We give special attention to the issue of calculability and measure the induced loss of performance in terms of maxisets." @default.
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• W2092003145 date "2009-07-07" @default.
• W2092003145 modified "2023-10-13" @default.
• W2092003145 title "Maxisets for Model Selection" @default.
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• W2092003145 doi "https://doi.org/10.1007/s00365-009-9062-2" @default.
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