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UID:1974@i2m.univ-amu.fr
DTSTART;TZID=Europe/Paris:20171106T140000
DTEND;TZID=Europe/Paris:20171106T150000
DTSTAMP:20171022T120000Z
URL:https://www.i2m.univ-amu.fr/evenements/continuous-testing-for-poisson-
 process-intensities-a-new-perspective-on-scanning-statistics/
SUMMARY: (...): Continuous testing for Poisson process intensities : A new 
 perspective on scanning statistics
DESCRIPTION:: We propose a novel continuous testing framework to test the i
 ntensities of Poisson Processes. This framework allows a rigorous definiti
 on of the complete testing procedure\, from an infinite number of hypothes
 is 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 de
 cision 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/member
 s/fpicard/
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DTSTART:20171029T020000
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