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空间时间异质性学习:一般化的空间时间半变系数模型与结构识别模型

Zhiling Gu1, Xinyi Li2, Guannan Wang3

  • 1Yale University, New Haven, Connecticut, USA.

Journal of time series analysis
|November 17, 2025
PubMed
概括

本研究介绍了用于分析复杂数据的通用空间时间半变系数模型 (GST-SVCMs). 该方法准确地识别了不同的效应,改善了空间时间异质性的预测和理解.

关键词:
62G08 它们是什么?62H11 它们是什么?62M1010 它们是什么?这是惩罚,是惩罚.一个带镜分隔墙.半变系数模型中的半变系数模型.时间空间数据的数据.斯普林斯,斯普林斯,斯普林斯,斯普林斯,斯普林斯,斯普林斯,斯普林斯,斯普林斯

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