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SUMMARY:UQ perspectives on approximate Bayesian computation (ABC) - Richar
 d Wilkinson (University of Sheffield)
DTSTART:20180112T133000Z
DTEND:20180112T143000Z
UID:TALK97537@talks.cam.ac.uk
CONTACT:INI IT
DESCRIPTION:Approximate Bayesian computation (ABC) methods are widely used
  in some scientific disciplines for fitting stochastic simulators to data.
  They are primarily used in situations where the likelihood function of th
 e simulator is unknown\, but where it is possible to easily sample from th
 e simulator. Methodological development of ABC methods has primarily focus
 ed on computational efficiency and tractability\, rather than on careful u
 ncertainty modelling. In this talk I&#39\;ll briefly introduce ABC and its
  various extensions\, and then interpret it from a UQ perspective and sugg
 est how it may best be modified.
LOCATION:Seminar Room 1\, Newton Institute
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