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Araujo and Gaglianone (2023) benchmark different device learning strategies together with traditional methods for inflation forecasting in Brazil, concluding that although neural networks and ensemble procedures give improvements above traditional types, the general performance varies extensively dependant upon enter range and forecast horizon.By l

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