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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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