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SUMMARY:Bayesian Probabilistic Numerical Methods - Chris Oates (Newcastle 
 University)
DTSTART:20180110T100000Z
DTEND:20180110T110000Z
UID:TALK98113@talks.cam.ac.uk
CONTACT:INI IT
DESCRIPTION:In this talk\, numerical computation - such as numerical solut
 ion of a PDE &ndash\; will be treated as an inverse problem in its own rig
 ht. The popular Bayesian approach to inversion is considered\, wherein a p
 osterior distribution is induced over the object of interest by conditioni
 ng a prior distribution on the same finite information that would be used 
 in the classical numerical context. This approach to numerical computation
  opens the door to application of statistical techniques\, and we discuss 
 the relevance of decision theory and probabilistic graphical models in par
 ticular detail. The concepts will be briefly illustrated through numerical
  experiment.
LOCATION:Seminar Room 1\, Newton Institute
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