Adaptation in some linear inverse problems
Author:
Affiliation:
1. Department of Statistics, 390 Serra Mall; Stanford University; Stanford CA 94305 USA
2. 1 Shields Avenue Department of Statistics; University of California; Davis CA 95616 USA
Funder
National Science Foundation
National Institutes of Health
Publisher
Wiley
Subject
Statistics, Probability and Uncertainty,Statistics and Probability
Link
http://onlinelibrary.wiley.com/wol1/doi/10.1002/sta4.54/fullpdf
Reference23 articles.
1. Adapting to unknown sparsity by controlling the false discovery rate;Abramovich;Annals of Statistics,2006
2. Wavelet decomposition approaches to statistical inverse problems;Abramovich;Biometrika,1998
3. Gaussian model selection;Birgé;Journal of European Mathematical Society,2001
4. Convergence rates of general regularization methods for statistical inverse problems and applications;Bissantz;SIAM Journal of Numerical Analysis,2007
5. On adaptive wavelet estimation of a derivative and other related linear inverse problems;Cai;Journal of Statistical Planning and Inference,2002
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