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TZID:America/Chicago
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DTSTART:20240310T030000
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DTSTART:20241103T010000
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BEGIN:VEVENT
DTSTAMP;TZID=America/Chicago:20260409T163338
UID:196206@calendar.wisc.edu
DTSTART;TZID=America/Chicago:20241018T120000
DTEND;TZID=America/Chicago:20241018T130000
DESCRIPTION:A New Nonparametrics Bayesian Models for Grouped Data with Appl
 ications to Clinical Trials Borrowing External Data. Dr. Ji will discuss a
  class of nonparametric Bayesian models called the Shared Atoms Model (SAM
 ) based on the dependent Dirichlet processes and present a real world mode
 l. SAM uses a simple idea of atom skipping to generate group specific patt
 erns of clustering\, allow atoms to be common\, unique\, and shared across
  multiple groups. In finite data sets\, SAM clusters experimental units in
  a similar fashion\, facilitating interpretable and flexible inference.\n\
 nCONTACT: junjie.hu@wisc.edu\n\nURL: https://biostat.wisc.edu/seminars\n\n
 ONLINE: https://uwmadison.zoom.us/j/99879638765
LOCATION:Auditorium\, Genetics-Biotechnology Center Building  (Also offered
  online)
SUMMARY:Biostatistics and Medical Informatics Department Seminar with Yuan 
 Ji\, University of Chicago
URL;VALUE=URI:https://biostat.wisc.edu/seminars
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