Simplicity in Model Selection

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Statistical techniques, such as the Akaike Information Criterion (AIC), do not vindicate appeals to simplicity as a general principle. AIC depends on certain strong background assumptions independent of simplicity. We impose a simplicity interpretation on the formula it produces.

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