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SUMMARY:Frequentist guarantees of Bayesian Inference with Missing data - S
 tefan  Franssen  (CNRS\, Université Sorbonne Paris Nord)
DTSTART:20250827T130000Z
DTEND:20250827T133000Z
UID:TALK234496@talks.cam.ac.uk
DESCRIPTION:Missing data is a common roadblock that is needed to be overco
 me for inference. One natural approach is to use Bayesian methods as a way
  of imputing the missing data. These methods work well in practise\, but a
  theoretical foundation is missing. One approach to provide these results 
 is to use a Bernstein-von Mises theorem. In this presentation I will discu
 ss our ongoing work and results in proving this result.\nThis is a project
  with Judith Rousseau.
LOCATION:Seminar Room 1\, Newton Institute
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