Multiple Testing for Neuroimaging via Hidden Markov Random Field

Traditional voxel-level multiple testing procedures in neuroimaging, mostly \(p\)-value based, often ignore the spatial correlations among neighboring voxels and thus suffer from substantial loss of power. We extend the local-significance-index based procedure originally developed for the hidden Mar...

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Bibliographic Details
Published in:	arXiv.org
Main Authors:	Shu, Hai, Bin Nan, Koeppe, Robert
Format:	Paper
Language:	English
Published:	Ithaca Cornell University Library, arXiv.org 28.07.2016
Subjects:	Algorithms Alzheimer's disease Computer simulation Disease control Fields (mathematics) Markov analysis Markov chains Maximization Medical imaging Neurology Optimization Parameter estimation Positron emission Test procedures Three dimensional models Tomography
ISSN:	2331-8422
Online Access:	Get full text
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