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SUMMARY:Calibration bayésienne de simulateur coûteux
DTSTART:20231207T130000Z
DTEND:20231207T150000Z
DTSTAMP:20260505T004700Z
UID:indico-event-10658@indico.math.cnrs.fr
DESCRIPTION:Speakers: Adama Barry (IMT)\n\nThe presentation will focus on 
 the calibration of computer code for the purpose of studying a physical ph
 enomenon or system that it models.By calibration we mean the estimation of
  the parameters of the computer code\, which is expensive in terms of exec
 ution time.We begin with an introduction to the statistical framework\, fo
 llowed by an exposition of Bayesian statisticaltools such as MCMC sampling
  methods\, Gaussian process modeling and others.Criteria for selecting phy
 sical and numerical experiments for calibration will then be discussed.Ill
 ustrative examples will punctuate the presentation.Finally\, an app
 lication to an analytical toy case will be presented. BE CAREFUL 
 : this presentation will be in FRENCH\n\nhttps://indico.math.cnrs.fr/event
 /10658/
LOCATION:Salle Johnson (1R3)
URL:https://indico.math.cnrs.fr/event/10658/
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