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SUMMARY:Frameworks for causal inference - Roland Ramsahai\, Statistical La
 boratory
DTSTART:20110202T163000Z
DTEND:20110202T173000Z
UID:TALK29531@talks.cam.ac.uk
CONTACT:Richard Samworth
DESCRIPTION:Causal inference is treated here as the study of interventions
 . Various\nframeworks for distinguishing intervention from observation are
  discussed. Some\nframeworks assume the existence of latent deterministic 
 mechanisms which\nmarginalise to produce observed uncertainty. Other proba
 bilistic frameworks are\nagnostic to such mechanisms. The semantics and co
 mputations in both types of\nframeworks are described and their relative a
 dvantages compared.\n
LOCATION:MR2\, CMS
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