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CATEGORIES:Brain Mapping Unit Networks Meeting and the Cambri
dge Connectome Consortium
SUMMARY:Bayesian Inference and its Applications - Maria Ro
sario Mestre\, Signal Processing and Communication
s Laboratory\, Department of Engineering\, Univers
ity of Cambridge
DTSTART;TZID=Europe/London:20111206T100000
DTEND;TZID=Europe/London:20111206T110000
UID:TALK37479AThttp://talks.cam.ac.uk
URL:http://talks.cam.ac.uk/talk/index/37479
DESCRIPTION:Bayesian inference is widely used in science and e
ngineering when there is prior knowledge about the
generation mechanism of observed data. It is used
for a variety of modelling tasks: from the estima
tion of model parameters to model selection. We de
scribe the basics of Bayesian inference\, and then
show how it is applied in Bayesian classification
. Sometimes graphs are used to model conditional i
ndependence between random variables\, we explain
the fundamentals of graphical models and how they
have been applied to fMRI data. The talk will be s
upported by examples drawn from different papers a
nd different types of data.
LOCATION:Sir William Hardy Building on Downing Site
CONTACT:Petra Vertes
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