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Titlebook: Concentration of Maxima and Fundamental Limits in High-Dimensional Testing and Inference; Zheng Gao,Stilian Stoev Book 2021 The Author(s),

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11#
發(fā)表于 2025-3-23 13:44:27 | 只看該作者
Uniform Relative Stability for Gaussian Arrays,c results of Simeon Berman are recovered and extended. The proofs utilize tools such as Slepian’s lemma, the Sudakov–Fernique inequality, as well as, a curious result on the structure of correlation matrices derived using elementary Ramsey’s theory.
12#
發(fā)表于 2025-3-23 15:37:48 | 只看該作者
13#
發(fā)表于 2025-3-23 18:32:02 | 只看該作者
2365-4333 imation for sparse signals observed with noise.Gives an appl.This book provides a unified exposition of some fundamental theoretical problems in high-dimensional statistics. It specifically?considers the canonical problems of detection and support estimation for sparse signals observed with noise. N
14#
發(fā)表于 2025-3-23 22:16:54 | 只看該作者
15#
發(fā)表于 2025-3-24 04:22:30 | 只看該作者
16#
發(fā)表于 2025-3-24 09:50:01 | 只看該作者
2365-4333 ction to a concentration of maxima probabilistic phenomenon, the authors obtain a complete characterization of the exact support recovery problem for thresholding estimators under dependent errors.?.978-3-030-80963-8978-3-030-80964-5Series ISSN 2365-4333 Series E-ISSN 2365-4341
17#
發(fā)表于 2025-3-24 13:32:30 | 只看該作者
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發(fā)表于 2025-3-24 18:06:56 | 只看該作者
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發(fā)表于 2025-3-24 22:52:13 | 只看該作者
SpringerBriefs in Probability and Mathematical Statisticshttp://image.papertrans.cn/c/image/234858.jpg
20#
發(fā)表于 2025-3-25 01:46:08 | 只看該作者
J. A. Ball,I. Gohberg,M. A. Kaashoeksignal support estimation problems. This is done in the context of two general models—the signal-plus-noise model and the chi-square model arising in genome-wide association studies. Motivating applications of these two problems and two models are briefly discussed. The chapter concludes with a summ
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