MAP and Bayes tests in sparse vectors detection

DOI10.1007/s11203-022-09271-xOpenAlexW4220824087WikidataQ114223456 ScholiaQ114223456MaRDI QIDQ2137736

Golubev Yuri

Publication date: 16 May 2022

Published in: Statistical Inference for Stochastic Processes (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11203-022-09271-x

zbMATH Keywords

stable distributionsmultiple testingBayes testsparse vectorsMAP test

Mathematics Subject Classification ID

Inference from stochastic processes (62Mxx)

Cites Work

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• Some problems of hypothesis testing leading to infinitely divisible distributions
• Multi-level Bayes and MAP monotonicity testing
• Higher criticism thresholding: Optimal feature selection when useful features are rare and weak
• Simultaneous and selective inference: Current successes and future challenges
• Classification of sparse high-dimensional vectors
• On a Problem of Signal Detection Leading to Stable Distributions
• A Statistical Problem Arising in the Theory of Detection of Signals in the Presence of Noise in a Multi-Channel System and Leading to Stable Distribution Laws

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