A Distribution Free Unitary Events Method based on Delayed Coincidence Count

Abstract : We investigate several distribution free dependence detection procedures, mainly based on bootstrap principles and their approximation properties. Thanks to this study, we introduce a new distribution free Unitary Events (UE) method, named Permutation UE, which consists in a multiple testing procedure based on permutation and delayed coincidence count. Each involved single test of this procedure achieves the prescribed level, so that the corresponding multiple testing procedure controls the False Discovery Rate (FDR), and this with as few assumptions as possible on the underneath distribution. Some simulations show that this method outperforms the trial-shuffling and the MTGAUE method in terms of single levels and FDR, for a comparable amount of false negatives. Application on real data is also provided.
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Contributeur : Magalie Fromont <>
Soumis le : lundi 25 mai 2015 - 17:07:26
Dernière modification le : jeudi 15 novembre 2018 - 11:56:36
Document(s) archivé(s) le : jeudi 20 avril 2017 - 07:58:28


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  • HAL Id : hal-01154918, version 1
  • ARXIV : 1505.06129


Mélisande Albert, Yann Bouret, Magalie Fromont, Patricia Reynaud-Bouret. A Distribution Free Unitary Events Method based on Delayed Coincidence Count. 2015. 〈hal-01154918v1〉



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