Dear all,
I just started using stochastic DCM and compared to deterministic DCM I am obtaining better fits of the data.
However, I am obtaining good fits with all the models I have tested and I am wondering if for some of them the stochastic part is explaining all the variance in the data and the model structure is essentially negligible.
How do I understand if stochastic DCM fitted the data correctly?
Thank you for your help
Matteo Tonietto, PhD Student
Department of Information Engineering
University of Padova
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