BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//132.216.98.100//NONSGML kigkonsult.se iCalcreator 2.20.4//
BEGIN:VEVENT
UID:20260621T220049EDT-9313jvfUXI@132.216.98.100
DTSTAMP:20260622T020049Z
DESCRIPTION:Title: Blends of Bayesian and frequentist inference.\n\nAbstrac
 t: Blended inference draws on strengths of the frequentist and Bayesian th
 eories of statistics. In one recipe\, Bayesian inference is used when the 
 prior distribution is known\, frequentist inference when nothing is known 
 about the prior\, and a blend of both when there is some knowledge about t
 he prior. If the confidence distribution that corresponds to frequentist i
 nference is practically consistent with the set of posterior distributions
  derived from the set of priors\, then the confidence distribution alone i
 s enough for inference. If not\, it exerts a strong influence on inference
 s drawn on the basis of the set of posterior distributions. That blend is 
 illustrated for the hypothesis testing case by a simple combination of a c
 onfidence distribution with a set of plausible posterior probabilities.\n
DTSTART:20190418T193000Z
DTEND:20190418T203000Z
LOCATION:Room PK-5115 \, CA\, UQAM Pavillon Kennedy
SUMMARY:David Bickel (University of Ottawa)
URL:/mathstat/channels/event/david-bickel-university-o
 ttawa-296271
END:VEVENT
END:VCALENDAR