To Explain or to Predict?
ology literature, applied statisticians instinctively sense that predicting and explaining are different. This article aims to fill a critical void: to tackle the distinction be-tween explanatory modeling and predictive modeling. Clearing the current ambiguity between the two is critical not only for proper statistical modeling, but
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