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SUMMARY:Approximate Bayesian computation (ABC) and particle MCMC for calib
 rating computer models - Richard Everitt (University of Warwick\; Universi
 ty of Reading)
DTSTART:20200908T125000Z
DTEND:20200908T131000Z
UID:TALK150694@talks.cam.ac.uk
CONTACT:INI IT
DESCRIPTION:This presentation will describe work conducted under two proje
 cts in the Landscape Decisions programme. We will outline the role we beli
 eve ABC and particle MCMC can play in calibrating landscape models\, descr
 ibe the current state of software being developed to allow other researche
 rs to easily use these methods\, and introduce a new technique called "rar
 e event ABC-SMC^2" for using ABC with high-dimensional data.  <br><br><br>
 <br><br>
LOCATION:Seminar Room 1\, Newton Institute
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