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CATEGORIES:Isaac Newton Institute Seminar Series
SUMMARY:Bayesian Probabilistic Numerical Methods - Chris O
 ates (Newcastle University)
DTSTART;TZID=Europe/London:20180110T100000
DTEND;TZID=Europe/London:20180110T110000
UID:TALK98113AThttp://talks.cam.ac.uk
URL:http://talks.cam.ac.uk/talk/index/98113
DESCRIPTION:In this talk\, numerical computation - such as num
 erical solution of a PDE &ndash\; will be treated 
 as an inverse problem in its own right. The popula
 r Bayesian approach to inversion is considered\, w
 herein a posterior distribution is induced over th
 e object of interest by conditioning a prior distr
 ibution on the same finite information that would 
 be used in the classical numerical context. This a
 pproach to numerical computation opens the door to
  application of statistical techniques\, and we di
 scuss the relevance of decision theory and probabi
 listic graphical models in particular detail. The 
 concepts will be briefly illustrated through numer
 ical experiment.
LOCATION:Seminar Room 1\, Newton Institute
CONTACT:INI IT
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