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)
In order to improve performance and enhance the user experience for the visitors to our website, we use cookies and store anonymous usage data. For more information please read our privacy policy.