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SUMMARY:Bayesian calibration\, history matching and model discrepancy - Je
 remy Oakley (University of Sheffield)
DTSTART:20180412T080000Z
DTEND:20180412T090000Z
UID:TALK103699@talks.cam.ac.uk
CONTACT:INI IT
DESCRIPTION:Bayesian calibration and history matching are both well establ
 ished tools for solving inverse problems: finding model inputs to make mod
 el outputs match observed data as closely as possible. I will discuss and 
 compare both\, within the context of decision-making. I will discuss the s
 ometimes contentious issue of model discrepancy: how and whether we might 
 account for an imperfect or misspecified model within the inference proced
 ure. I will also present some work on history matching of a high dimension
 al individual based HIV transmission model (joint work with I. Andrianakis
 \, N. McCreesh\, I. Vernon\, T. J. McKinley\, R. N. Nsubuga\, M. Goldstein
  and R. J. White).
LOCATION:Seminar Room 1\, Newton Institute
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