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SUMMARY:Creating structured and flexible models: some  open problems - Pr
 of Andrew Gelman (Columbia University)
DTSTART:20100728T130000Z
DTEND:20100728T140000Z
UID:TALK25618@talks.cam.ac.uk
CONTACT:Zoubin Ghahramani
DESCRIPTION:A challenge in statistics is to construct models that are stru
 ctured enough to be able to learn from data but not be so strong as to ove
 rwhelm the data.  We introduce the concept of "weakly informative priors" 
 which contain important information but less than may be available for the
  given problem at hand.  We also discuss some related problems in developi
 ng general models for interactions.  We consider how these ideas apply to 
 problems in social science and public health.  If you don't walk out of th
 is talk as a Bayesian\, I'll eat my hat.
LOCATION:Engineering Department\, CBL Room 438
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