中断时间序列预测

IF 2.7 4区管理学 Q2 MANAGEMENT

Journal of the Operational Research Society Pub Date : 2024-09-04 DOI:10.1080/01605682.2024.2395315

Rob J. Hyndman, Bahman Rostami-Tabar

引用次数: 0

摘要

预测中断的时间序列数据是预测团队面临的一大挑战，尤其是在 COVID-19 大流行等事件中。本文研究了几种处理中断时间序列数据的策略。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Forecasting interrupted time series

Forecasting interrupted time series data is a major challenge for forecasting teams, especially in light of events such as the COVID-19 pandemic. This paper investigates several strategies for deal...

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来源期刊

Journal of the Operational Research Society 管理科学-运筹学与管理科学

CiteScore

6.80

自引率

13.90%

发文量

144

审稿时长

7.3 months

期刊介绍： JORS is an official journal of the Operational Research Society and publishes original research papers which cover the theory, practice, history or methodology of OR.