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SUMMARY:Completely Random Measures - Sinead Williamson (University of Camb
 ridge)
DTSTART:20110120T140000Z
DTEND:20110120T153000Z
UID:TALK29118@talks.cam.ac.uk
CONTACT:Shakir Mohamed
DESCRIPTION:Completely random measures are distributions over measures tha
 t assign independent masses to disjoint subsets. Examples include the beta
  process\, gamma process and stable process. \n\nWe will cover infinite di
 visibility\, completely random measures\, normalized random measures\, and
  neutral-to-the-right processes. \n\nA good general reference for the mate
 rial covered is Lijoi and Prünster (2010) Models beyond the Dirichlet pro
 cess. In Hjort et al (eds)\, Bayesian Nonparametrics\, CUP. - available he
 re: http://ideas.repec.org/p/cca/wpaper/129.html
LOCATION:Engineering Department\, CBL Room 438
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