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SUMMARY:Quantification of Model Uncertainty - Chris Holmes (University of 
 Oxford)
DTSTART:20190605T130000Z
DTEND:20190605T140000Z
UID:TALK125563@talks.cam.ac.uk
CONTACT:INI IT
DESCRIPTION:Statistical estimation and uncertainty quantification of param
 eter values within models is fairly well established\, where Bayesian and 
 non-Bayesian approaches typically show broad agreement. In contrast\, quan
 tification of uncertainty around issues of model choice or parameter selec
 tion is much more contentious. We will review some of the distinctive feat
 ures of statistical approaches to model evaluation with a focus on the fou
 ndations of Bayesian inference and robustness to model misspecification.
LOCATION:Seminar Room 1\, Newton Institute
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