Demand Forecasting of Individual Probability Density Functions with Machine Learning
Publication in Operations Research Forum
Abstract: Demand forecasting is a central component of the replenishment process for retailers, as it provides crucial input for subsequent decision making like ordering processes. In contrast to point estimates, such as the conditional mean of the underlying probability distribution, or confidence intervals, forecasting complete probability density functions allows to...
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