Maxisets for μ-thresholding rules

被引:10
作者
Autin, Florent [1 ]
机构
[1] Univ Aix Marseille 1, Ctr Math & Informat, F-13453 Marseille 13, France
关键词
adaptive procedures; Besov spaces and weak Besov spaces; maximal space; minimax risk; thresholding rules;
D O I
10.1007/s11749-006-0035-5
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
In this paper, we study the performances of a large class of procedures, called mu-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 mu-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.
引用
收藏
页码:332 / 349
页数:18
相关论文
共 13 条
[1]  
AUTIN F, 2006, MATH METHODS STAT, V15
[2]  
AUTIN F, 2004, THESIS U PARIS 7 DEN
[3]  
CAI T, 1998, NUMERICAL COMP UNPUB
[4]  
Cai TT, 2002, STAT SINICA, V12, P1241
[5]   Adaptive wavelet estimation: A block thresholding and oracle inequality approach [J].
Cai, TT .
ANNALS OF STATISTICS, 1999, 27 (03) :898-924
[6]   Maximal spaces with given rate of convergence for thresholding algorithms [J].
Cohen, A ;
DeVore, R ;
Kerkyacharian, G ;
Picard, D .
APPLIED AND COMPUTATIONAL HARMONIC ANALYSIS, 2001, 11 (02) :167-191
[7]  
Donoho D. L., 1997, FESTSCHRIFT LUCIEN C, P183
[8]  
DONOHO DL, 1995, J ROY STAT SOC B MET, V57, P301
[9]  
Donoho DL, 1996, ANN STAT, V24, P508
[10]   Numerical performance of block thresholded wavelet estimators [J].
Hall, P ;
Penev, S ;
Kerkyacharian, G ;
Picard, D .
STATISTICS AND COMPUTING, 1997, 7 (02) :115-124