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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:20260408T045222
UID:213160@calendar.wisc.edu
DTSTART;TZID=America/Chicago:20251024T120000
DTEND;TZID=America/Chicago:20251024T130000
DESCRIPTION:Inference on the Significance of Modalities in Multimodal Gener
 alized Linear Models. Multimodal statistical models have gained attention 
 in recent years\, yet there lacks rigorous statistical inference tools for
  inferring the significance of a single modality within a multimodal model
 . Dr. Li will propose a novel entropy-based metric - expected relative ent
 ropy - to quantify the information gain of one modality in addition to all
  other modalities in the model. Such a tool is using for making personaliz
 ed treatment recommendations based on individual patient profiles.\n\nCONT
 ACT: junjie.hu@wisc.edu\n\nURL: https://biostat.wisc.edu/seminars\n\nONLIN
 E: https://uwmadison.zoom.us/j/99879638765?pwd=wbtqxoucEFIlPVCVc9SFbvKB1Av
 7Xk.1
LOCATION:7560 Morgridge Hall  (Also offered online)
SUMMARY:Biostatistics and Medical Informatics Department Seminar with Quefe
 ng Li (University of North Carolina
URL;VALUE=URI:https://biostat.wisc.edu/seminars
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