Dear DCM experts,
I am trying to understand the EM algorithm which is used in DCM for estimating the parameters, but I really have some problems in deriving the details of different steps especially in the M-step (specifically p. 480 Friston et.al 2002, classical and bayesian inference in neuroimaging: theory) Does anybody know a reference to explain this steps in more details? I more mean the exact equations which are used in DCM, not the general methods. Thank you so much in advance.
Best regards,
Sadjad Sadeghi
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