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SUMMARY:multicanonical sampling - Ole Winther\, IMM\, DTU and Inference Gr
 oup
DTSTART:20050707T103000Z
DTEND:20050707T113000Z
UID:TALK4395@talks.cam.ac.uk
CONTACT:David MacKay
DESCRIPTION:In multicanonical ensemble and other artificial ensemble Monte
  Carlo methods one samples from from a distribution different than the can
 onical (the true posterior distribution) in order to make the relaxation o
 f the Markov chain more effective. I will lead a discussion of some of the
 se techniques and try to indicate that they actually involve inference pro
 blems. \n\nThe presentation will be based upon the review in Jesper Ferkin
 ghoff-Borg's thesis\, available from http://www.nbi.dk/~borg/\n\n
LOCATION:Jasmine Room\, Microsoft Research Cambridge
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