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BEGIN:VEVENT
DTSTAMP:20260428T040125Z
DTSTART;VALUE=DATE-TIME:20170203T140000
DTEND;VALUE=DATE-TIME:20170203T150000
SUMMARY:CRiSM Seminar
TZID:Europe/London
UID:20170203-094d4345576c303701578a6be03303e0@warwick.ac.uk
CREATED:20161003T120148Z
DESCRIPTION:Liz Ryan (KCL) Title: Simulation-based Fully Bayesian Experim
 ental Design Abstract: Bayesian experimental design is a fast growing ar
 ea of research with many real-world applications. As computational power
  has increased over the years\, so has the development of simulation-bas
 ed design methods\, which involve a number of Bayesian algorithms\, such
  as Markov chain Monte Carlo (MCMC) algorithms. However\, many of the pr
 oposed algorithms have been found to be computationally intensive for co
 mplex or nonstandard design problems\, such as those which require a lar
 ge number of design points to be found and/or those for which the observ
 ed data likelihood has no analytic expression. In this work\, we develop
  novel extensions of existing algorithms which have been used for Bayesi
 an experimental design\, and also incorporate methodologies which have b
 een used for Bayesian inference into the design framework\, so that solu
 tions to more complex design problems can be found.
LOCATION:MA_B1.01
URL:http://www2.warwick.ac.uk/fac/sci/statistics/crism/seminars/
ATTACH:http://www2.warwick.ac.uk/fac/sci/statistics/crism/seminars/
CATEGORIES:CRiSM Seminars,Seminars
LAST-MODIFIED:20170123T104535Z
ORGANIZER;CN=Olivia Garcia-Hernandez:
END:VEVENT
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