Deep Latent Factor Model for Spatio-Temporal Forecasting

IF 2.3 3区工程技术 Q1 STATISTICS & PROBABILITY

Technometrics Pub Date : 2024-02-22 DOI:10.1080/00401706.2024.2322661

Wonmo Koo, Eun-Yeol Ma, Heeyoung Kim

引用次数: 0

Abstract

Latent factor models can perform spatio-temporal forecasting (i.e., predicting future responses at unmeasured as well as measured locations) by modeling temporal dependence using latent factors and...

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用于时空预测的深度潜因模型

潜因模型可以利用潜因和时间依赖性建模，进行时空预测（即预测未测量地点和测量地点的未来反应）。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Technometrics 管理科学-统计学与概率论

CiteScore

4.50

自引率

16.00%

发文量

审稿时长

>12 weeks

期刊介绍： Technometrics is a Journal of Statistics for the Physical, Chemical, and Engineering Sciences, and is published Quarterly by the American Society for Quality and the American Statistical Association.Since its inception in 1959, the mission of Technometrics has been to contribute to the development and use of statistical methods in the physical, chemical, and engineering sciences.