Selecting Data Granularity and Model Specification Using the Scaled Power Likelihood with Multiple Weights
提出一种联合选择工具，用于识别最适合样本外预测的粒度与模型组合。
This paper proposes a selection tool that jointly identifies the best-fitted granularity-model pair that can be used for out-of-sample forecasting.