Comparing Dynamic Causal Models using AIC, BIC and Free Energy

@inproceedings{Penny2012ComparingDC,
  title={Comparing Dynamic Causal Models using AIC, BIC and Free Energy},
  author={William D. Penny},
  booktitle={NeuroImage},
  year={2012}
}
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) the Bayesian Information Criterion (BIC) and (iii) the variational Free Energy. Differences in performance are examined in the context of… CONTINUE READING
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