The basic text is p(a,b) = p(a|b) p(b) = p(b|a) p(a), but if you need a
bit more, then Will's lecture notes are a very good place to start...
This is probably the classic work on Bayesian epistemology...
This is a very nice book for those developers of methodology software.
It's mostly framed in terms of information theory, but much of it is
also explained in terms of probabilities...
This is one for those who like graphical generative models, and figuring
out causes and effects. If you are into DCM, then it is probably a good
place to start...
If you like to think of the brain as a system for making predictions,
care a little less about generative models of the data, and want to read
about an alternative to support-vector machines...
... and of course, there is the new SPM book ... but this one is not
From: SPM (Statistical Parametric Mapping) [mailto:[log in to unmask]]
On Behalf Of Edson Amaro Junior
Sent: Monday, September 10, 2007 6:11 AM
To: [log in to unmask]
Subject: [SPM] bayesian
This is a common and quite popular request. I have been reading about
about using bayesian
statistics or bayesian approaches to understand brain function; but this
remains unclear. Does
anyone know of a suitable text that they can recommend to shed some
light on this subject?