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TZID:America/Chicago
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DTSTART:20250309T030000
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DTSTART:20251102T010000
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BEGIN:VEVENT
DTSTAMP;TZID=America/Chicago:20260408T030648
UID:213159@calendar.wisc.edu
DTSTART;TZID=America/Chicago:20251017T120000
DTEND;TZID=America/Chicago:20251017T130000
DESCRIPTION:Two Disciplines\, One Mission - A Comparative View on Making Se
 nse of Imperfect Data from Statistical Science to Machine Learning. Data i
 mperfections\, such as measurement error in predictors and label noise in 
 supervised learning\, are pervasive across domains. Dr. Yi will offer a br
 ief comparative review of approaches in statistics and machine learning to
  address these imperfections\, highlighting the importance of addressing d
 ata quality issues and developing strategies to mitigate their adverse eff
 ects on inference and prediction.\n\nCONTACT: junjie.hu@wisc.edu\n\nURL: h
 ttps://biostat.wisc.edu/seminars\n\nONLINE: https://uwmadison.zoom.us/j/99
 879638765?pwd=wbtqxoucEFIlPVCVc9SFbvKB1Av7Xk.1
LOCATION:7560 Morgridge Hall  (Also offered online)
SUMMARY:Biostatistics and Medical Informatics Department Seminar with Grace
  YI of Western Ontario University
URL;VALUE=URI:https://biostat.wisc.edu/seminars
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