14 lines
660 B
TeX
14 lines
660 B
TeX
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\subsection{Demand Forecasting with Classical Forecasting Methods}
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\label{class_methods}
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Forecasting became a formal discipline starting in the 1950s and has its
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origins in the broader field of statistics.
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\cite{hyndman2018} provide a thorough overview of the concepts and methods
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established, and \cite{ord2017} indicate business-related applications
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such as demand forecasting.
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These "classical" forecasting methods share the characteristic that they are
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trained over the entire $Y$ first.
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Then, for prediction, the forecaster specifies the number of time steps for
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which he wants to generate forecasts.
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That is different for ML models.
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