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Statistica Sinica 19 (2009), 1407-1417





ADAPTING TO UNKNOWN SMOOTHNESS BY

AGGREGATION OF THRESHOLDED

WAVELET ESTIMATORS


Christophe Chesneau and Guillaume Lecué


LMNO, Caen, and University Pierre et Marie Curie, Paris VI


Abstract: We consider a multi-wavelet thresholding method for nonparametric estimation. An adaptive procedure based on a convex combination of weighted term-by-term thresholded wavelet estimators is proposed. By considering the density estimation framework, we prove that this procedure is optimal in the minimax sense over Besov balls under the $L^2$ risk, without an extra logarithm term.



Key words and phrases: Aggregation, density estimation, margin, oracle inequalities, threshold estimators, wavelets.

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