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Updated: Jul 12, 2025

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用于单模时间序列预测的高斯式和勒赫式模型

Azzouz Dermoune1, Daoud Ounaissi2, Yousri Slaoui3

  • 1CNRS, Laboratoire Paul Painlev, UMR 8524, Université de Lille, 59653 Villeneuve d'ascq, France.

Entropy (Basel, Switzerland)
|October 28, 2023
PubMed
概括

这项研究引入了高斯和莱尔赫模型用于单模时间序列预测,比较使用COVID-19数据的参数估计方法. 这项研究为每日感染预测提供了置信区间.

关键词:
高斯的模型是高斯的模型.莱尔赫模型的模型.尼尔德米德的意思是什么每天感染的感染.最小绝对偏差的最小绝对偏差最好的功能是最优的功能.简单的算法简单的算法.

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