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SUMMARY:Probabilistic inference in Physics illustrated with a toy model - 
 Prof. Giulio D'Agostini (University of Rome &quot\;Sapienza&quot\;)
DTSTART:20160920T150000Z
DTEND:20160920T163000Z
UID:TALK67139@talks.cam.ac.uk
CONTACT:Marco Nardecchia
DESCRIPTION:The aim of the seminar is to introduce\, making use of a very 
 simple although instructive 'experiment'\, the probabilistic reasoning to 
 solve what Poincaré called ``the essential problem of the experimental me
 thod''\, i.e. how to evaluate the probabilities of the possible causes tha
 t might have generated observed effects. The approach illustrated is mainl
 y that developed by Laplace\, although it is  nowdays better known with th
 e appellative 'Bayesian'. Particular attention will be put in the graphica
 l representation of inferential and predictive issues ('Bayesian network')
 .\n
LOCATION:HEP meeting room\, Rutherford Building\, Cavendish Laboratory
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