Rate of convergence of the risk estimate distribution to the normal law using FDR multiple hypothesis testing with inverting linear homogeneous operators

DOI10.3103/S0278641922030098OpenAlexW4313146807WikidataQ115006490 ScholiaQ115006490MaRDI QIDQ2107857

S. I. Palionnaya

Publication date: 5 December 2022

Published in: Moscow University Computational Mathematics and Cybernetics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3103/s0278641922030098

zbMATH Keywords

waveletsthresholdingmultiple hypothesis testingrisk estimatorhomogeneous linear operatorconvergence rate to normal law

Mathematics Subject Classification ID

Nonparametric inference (62Gxx) Communication, information (94Axx) Nontrigonometric harmonic analysis (42Cxx)

Cites Work

• Adapting to unknown sparsity by controlling the false discovery rate
• Adapting to Unknown Smoothness via Wavelet Shrinkage
• Wavelet decomposition approaches to statistical inverse problems
• Noise reduction by wavelet thresholding
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