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SUMMARY:An introduction to the calibration of computer models - Richard Wi
 lkinson (University of Nottingham)
DTSTART:20250602T130000Z
DTEND:20250602T140000Z
UID:TALK230581@talks.cam.ac.uk
DESCRIPTION:In the context of computer models\, calibration is the process
  of estimating unknown simulator parameters from observational data\, vari
 ously referred to as model fitting\, parameter estimation/inference\, an i
 nverse problem\, and model tuning. The need for calibration occurs in most
  areas of science and engineering\, and although the statistical methods u
 sed for calibration can vary substantially\, the underlying approach is es
 sentially the same and can be considered abstractly. In this talk\, I will
  review the decisions that need to be taken when calibrating a model\, and
  discuss a range of computational methods (new and old) that can be used t
 o compute Bayesian posterior distributions.
LOCATION:Seminar Room 1\, Newton Institute
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