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BEGIN:VEVENT
DTSTAMP:20260614T062813Z
DTSTART;VALUE=DATE-TIME:20170203T140000
DTEND;VALUE=DATE-TIME:20170203T150000
SUMMARY:CRiSM seminar: Liz Ryan (KCL) "Simulation-based Fully Bayesian Ex
 perimental Design"
TZID:Europe/London
UID:20170203-094d43f559df340e0159ef07b10d1f0b@warwick.ac.uk
CREATED:20170130T105935Z
DESCRIPTION:Bayesian experimental design is a fast growing area of resear
 ch with many real-world applications. As computational power has increas
 ed over the years\, so has the development of simulation-based design me
 thods\, which involve a number of Bayesian algorithms\, such as Markov c
 hain Monte Carlo (MCMC) algorithms. However\, many of the proposed algor
 ithms have been found to be computationally intensive for complex or non
 standard design problems\, such as those which require a large number of
  design points to be found and/or those for which the observed data like
 lihood has no analytic expression. In this work\, we develop novel exten
 sions of existing algorithms which have been used for Bayesian experimen
 tal design\, and also incorporate methodologies which have been used for
  Bayesian inference into the design framework\, so that solutions to mor
 e complex design problems can be found.
LOCATION:B1.01\, Mathematics
CATEGORIES:Seminars
LAST-MODIFIED:20170130T110020Z
ORGANIZER;CN="":
END:VEVENT
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