Comparing Families of Dynamic Causal Models

@inproceedings{Penny2010ComparingFO,
  title={Comparing Families of Dynamic Causal Models},
  author={William D. Penny and Klaas Enno Stephan and Jean Daunizeau and Maria J. Rosa and Karl J. Friston and Thomas M. Schofield and Alexander P. Leff},
  booktitle={PLoS Computational Biology},
  year={2010}
}
Mathematical models of scientific data can be formally compared using Bayesian model evidence. Previous applications in the biological sciences have mainly focussed on model selection in which one first selects the model with the highest evidence and then makes inferences based on the parameters of that model. This "best model" approach is very useful but can become brittle if there are a large number of models to compare, and if different subjects use different models. To overcome this… CONTINUE READING
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