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Representativeness: A New Criterion for Selecting Forecasts by Fotios Petropoulos and Enno Siemsen
Method selection rules have included information criteria (IC) metrics, which seek to balance accuracy and model complexity, and cross-validation (CV) techniques for measurement of how well a method forecasts data held out from model estimation. Their article is followed by a commentary on representativeness by Shari De Baets and Nigel Harvey.