American Sociological Association

Comment: The Inferential Information Criterion from a Bayesian Point of View

As Michael Schultz notes in his very interesting paper (this volume, pp. 52–87), standard model selection criteria, such as the Akaike information criterion (AIC; Akaike 1974), the Bayesian information criterion (BIC; Schwarz 1978), and the minimum description length principle (MDL; Rissanen 1978), are purely empirical criteria in the sense that the score a model receives does not depend on how well the model coheres with background theory. This is unsatisfying because we would like our models to be theoretically plausible, not just empirically successful. To remedy this situation, Schultz proposes an amended version of AIC that he calls the inferential information criterion (IIC).

Authors

Olav B. Vassend

Volume

48

Issue

1

Starting Page

91

Ending Page

97