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Jun, 2022
fETSmcs: 基于特征的ETS模型组件选择
fETSmcs: Feature-based ETS model component selection
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Lingzhi Qi, Xixi Li, Qiang Wang, Suling Jia
TL;DR
本文提出了一种训练分类器来选择ETS模型组件形式的方法,以更高效地选出适当的模型,并在M4预测竞赛数据集和医院月度数据集上进行了实证研究。
Abstract
The well-developed ETS (
exponential smoothing
or Error, Trend, Seasonality) method incorporating a family of
exponential smoothing
models in
stat
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