# Multimodel Inference

@article{Burnham2004MultimodelI, title={Multimodel Inference}, author={Kenneth P. Burnham and David R. Anderson}, journal={Sociological Methods \& Research}, year={2004}, volume={33}, pages={261 - 304} }

The model selection literature has been generally poor at reflecting the deep foundations of the Akaike information criterion (AIC) and at making appropriate comparisons to the Bayesian information criterion (BIC). There is a clear philosophy, a sound criterion based in information theory, and a rigorous statistical foundation for AIC. AIC can be justified as Bayesian using a “savvy” prior on models that is a function of sample size and the number of model parameters. Furthermore, BIC can be…

## 6,699 Citations

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