Decision Trees for Time-Series Forecasting
Evangelos Spiliotis
Foresight: The International Journal of Applied Forecasting, 2022, issue 64, 30-44
Abstract:
In this latest Foresight tutorial on forecasting methods, Evangelos Spiliotis takes us into the world of machine learning, introducing the decision-tree methods that have become a frequent and successful foundation of ML approaches to forecasting. He explains how these methods work and illustrates how they can be implemented for time-series forecasting. Previous tutorials have been compiled into the Foresight Guidebook entitled Forecasting Methods Tutorials, available online at forecasters.org/foresight/bookstore/. Copyright International Institute of Forecasters, 2022
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:for:ijafaa:y:2022:i:64:p:30-44
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