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SUMMARY:Correlation\, Causation\, Model Comparison and Interventions - Phi
 lipp Hennig (University of Cambridge)
DTSTART:20090821T103000Z
DTEND:20090821T113000Z
UID:TALK19515@talks.cam.ac.uk
CONTACT:Emli-Mari Nel
DESCRIPTION:In this week's journal club\, I would like to discuss the much
 -touted but rarely properly discussed relationship between correlation and
  causation. In particular\, what is the precise difference between the two
 \, and what role does active intervention (experimentation) play?\n\nMuch 
 of the academic discussion on this topic has taken the form of big books. 
 However\, a concise paper dealing with some aspects of these questions is\
 n\n_Active Learning for Structure in Bayesian Networks_\nby Simon Ton and 
 Daphne Koller\, *ICML* 2001.\n\nFor a more fun introduction to some of the
  problems\, involving mind-reading aliens(!)\, see the first few pages of\
 n\n_Inferring causal networks from observations and interventions_\nby Ste
 yvers et al.\, *Cognitive Science* 27 (2003) 453-489)
LOCATION:TCM Seminar Room\, Cavendish Laboratory\, Department of Physics
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