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SUMMARY:An overview on Approximate Bayesian Computation - Wenkai Xu\, Gats
 by Unit of Computational Neuroscience
DTSTART:20170308T160000Z
DTEND:20170308T170000Z
UID:TALK71532@talks.cam.ac.uk
CONTACT:Mo Dick Wong
DESCRIPTION:Approximate Bayesian Computation(ABC) is a likelihood-free tec
 hnique to compute/sample the posterior distribution of parameters from obs
 erved data. It has become popular in recent years due to its adaptability 
 and flexibility. In this talk\, I shall explain how ABC works with various
  sampling methods and provide some convergence results on cost-error trade
  off.
LOCATION:MR14\, Centre for Mathematical Sciences
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