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Is there any reason to prefer the AIC or BIC over the other?

russellpierce · 2010
Stack Exchange · Datasets · License: CC BY-SA · 2010
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model-selectionmodeling
The AIC and BIC are both methods of assessing model fit penalized for the number of estimated parameters. As I understand it, BIC penalizes models more for free parameters than does AIC. Beyond a preference based on the stringency of the criteria, are there any other reasons to prefer AIC over BIC or vice versa?
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