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SUMMARY:Khalil Shafie Holighi (University of Northern Colorado)
DTSTART:20221201T141500Z
DTEND:20221201T150000Z
DTSTAMP:20260422T155025Z
UID:gbgstats/9
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/gbgstats/9/"
 >A test for multiple signal detection from noisy images</a>\nby Khalil Sha
 fie Holighi (University of Northern Colorado) as part of Gothenburg statis
 tics seminar\n\nLecture held in MVL14.\n\nAbstract\nGaussian random field 
 theory has been extensively used  to model the brain images.\nIn this work
 \, I use  the reproducing kernel Hilbert space (RKHS) machinery to derive 
 the likelihood ratio test statistic for   activation signal detection in  
 functional magnetic resonance imaging.    The models considered have the f
 orm of  smoothed version  of signal plus a white noise  which include   sc
 ale  and rotation space random fields with one  or more signals as special
  cases.\n\nKhalil Shafie Holighi is professor of statistics at University 
 of Northern Colorado.\n
LOCATION:https://researchseminars.org/talk/gbgstats/9/
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