Comparing Dynamic Causal Models using AIC, BIC and Free Energy

Abstract

In neuroimaging it is now becoming standard practise to fit multiple models to data and compare them using a model selection criterion. This is especially prevalent in the analysis of brain connectivity. This paper describes a simulation study which compares the relative merits of three model selection criteria (i) Akaike's Information Criterion (AIC), (ii… (More)
DOI: 10.1016/j.neuroimage.2011.07.039

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