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Updated: Jun 18, 2025

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data
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Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data

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贝叶斯集群对于空间异质数据的地理加权回归

Wala Draidi Areed1, Aiden Price1, Helen Thompson1

  • 1School of Mathematical Science, Centre for Data Science, Queensland University of Technology, Brisbane, Australia.

Royal Society open science
|August 2, 2024
PubMed
概括

本研究引入了贝叶斯地理加权回归 (BGWR) 与共变效果集群,以揭示空间关系的区域变化. 增强的方法提高了大型数据集的计算效率,并确定了局部化的协变量重要性.

关键词:
贝叶斯的地理加权回归.迪里克莱特工艺混合物模型模型儿童的发展发展.聚类集群是指聚类的聚类.

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