Dear DCM experts,

We can choose to compute BMA (

The posterior probabilities corresponding to mean DCM parameters for winning family are regarded as the indicators of significance in some papers. That is, a mean parameter with the posterior probability bigger than 0.95 in group level will be regarded as the significant one.

Besides, my *DCM.B* is a 3X3X2 matrix with three brain regions and two experimental effects. What I am interested in is the difference between two experimental effects on the modulatory parameters. That is, the difference between *DCM.B(:,:,1) *and *DCM.B(:,:,2)* is my interest.

That is, how do we know whether the parameters in

I think some kinds of Bayesian test are needed. But I don't know how to do these.

Thank you very very much!

Best regards,

Ying