Paper Accepted for International Journal of Forecasting

The paper „Daily Retail Demand Forecasting Using Machine Learning with Emphasis on Calendric Special Days“ by Jakob Huber and Heiner Stuckenschmidt has been accepted for the International Journal of Forecasting (Impact Factor 3.386)

DOI: doi.org/10.1016/j.ijforecast.2020.02.005

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