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Local signal detection on irregular domains with generalized varying coefficient models
Journal of the American Statistical Association ( IF 3.0 ) Pub Date : 2024-11-05 , DOI: 10.1080/01621459.2024.2423972 Chengzhu Zhang, Lan Xue, Yu Chen, Heng Lian, Annie Qu
Journal of the American Statistical Association ( IF 3.0 ) Pub Date : 2024-11-05 , DOI: 10.1080/01621459.2024.2423972 Chengzhu Zhang, Lan Xue, Yu Chen, Heng Lian, Annie Qu
In spatial analysis, it is essential to understand and quantify spatial or temporal heterogeneity. This paper focuses on the generalized spatially varying coefficient model (GSVCM), a powerful fram...
中文翻译:
使用广义变化系数模型对不规则域进行局部信号检测
在空间分析中,了解和量化空间或时间异质性至关重要。本文重点介绍广义空间变化系数模型 (GSVCM),这是一种强大的框架。
更新日期:2024-11-06
中文翻译:
使用广义变化系数模型对不规则域进行局部信号检测
在空间分析中,了解和量化空间或时间异质性至关重要。本文重点介绍广义空间变化系数模型 (GSVCM),这是一种强大的框架。