Model selection by minimum description length: Lower-bound sample sizes for the Fisher information approximation

Daniel W. Heck, Morten Moshagen, Edgar Erdfelder

The Fisher information approximation (FIA) is an implementation of the minimum description length principle for model selection. Unlike information criteria such as AIC or BIC, it…