Maxisets for μ-thresholding rules

• Autores: Florent Autin
• Localización: Test: An Official Journal of the Spanish Society of Statistics and Operations Research, ISSN-e 1863-8260, ISSN 1133-0686, Vol. 17, Nº. 2, 2008, págs. 332-349
• Idioma: inglés
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• Resumen

  • In this paper, we study the performances of a large class of procedures, called μ-thresholding rules. At first, we exhibit the maximal spaces (or maxisets) where these rules attain given rates of convergence when considering the Besov-risk. Then, we point out a way to construct μ-thresholding rules for which the maxiset contains the hard thresholding rule’s one. In particular, we prove that procedures which consist in thresholding coefficients by groups, as block thresholding rules or thresholding rules with tree structure, outperform in the maxiset sense procedures which consist in thresholding coefficients individually.