Model-Selection Theory: The Need for a More Nuanced Picture of Use-Novelty and Double-Counting
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Steele, Katie
Werndl, Charlotte
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Oxford University Press
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This article argues that common intuitions regarding a) the specialness of 'use-novel' data for conformation and b) that this specialness implies the 'no-double-counting rule', which says that data used in 'constructing' (calibrating) a model cannot also play a role in confirming the model's predictions, are too crude.
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The British Journal for the Philosophy of Science
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