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TZID:America/Chicago
BEGIN:DAYLIGHT
DTSTART:20260308T030000
TZOFFSETFROM:-0600
TZOFFSETTO:-0500
RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3
TZNAME:CDT
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DTSTART:20261101T010000
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BEGIN:VEVENT
DTSTAMP;TZID=America/Chicago:20261020T011100
UID:225191@calendar.wisc.edu
DTSTART;TZID=America/Chicago:20261023T120000
DTEND;TZID=America/Chicago:20261023T130000
DESCRIPTION:Regression with Complex Data Objects: Geometry and Biomedical A
 pplications. Motivated by classical logistic regression\, we construct a g
 eometrically defined binary regression model using distances and angles be
 tween geodesics\, and apply it to functional-connectivity matrices from th
 e Human Connectome Project to distinguish motor and language-processing ta
 sks. Together\, these results illustrate how familiar regression ideas can
  be extended beyond Euclidean spaces while retaining interpretability and 
 relevance to complex biomedical data.\n\nCONTACT: juan.caicedo@wisc.edu\n\
 nURL: https://biostat.wisc.edu/events/department-seminars\n\nONLINE: https
 ://uwmadison.zoom.us/j/96633729112
LOCATION:1524 Morgridge Hall  (Also offered online)
SUMMARY:Department of Biostatistics & Medical Informatics Seminar with Zhen
 hua Lin of the National University of Singapore
URL;VALUE=URI:https://biostat.wisc.edu/events/department-seminars
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