Continuous testing for Poisson process intensities : A new perspective on scanning statistics

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Date/heure
Date(s) - 06/11/2017
14 h 00 min - 15 h 00 min

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We propose a novel continuous testing framework to test the intensities of Poisson Processes. This framework allows a rigorous definition of the complete testing procedure, from an infinite number of hypothesis to joint error rates. Our work extends traditional procedures based on scanning windows, by controlling the family-wise error rate and the false discovery rate in a non-asymptotic manner and in a continuous way. The decision rule is based on a pvalue process that can be estimated by a Monte-Carlo procedure. We also propose new test statistics based on kernels. Our method is applied in Neurosciences and Genomics through the standard test of homogeneity, and the two-sample test.

http://pbil.univ-lyon1.fr/members/fpicard/

Olivier CHABROL
Posts created 14

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