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Updated: May 27, 2025

Application of Granger Causality Analysis of the Directed Functional Connection in Alzheimer's Disease and Mild Cognitive Impairment
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Application of Granger Causality Analysis of the Directed Functional Connection in Alzheimer's Disease and Mild Cognitive Impairment

Published on: August 7, 2017

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发现和推断一个因果网络与隐藏的混

Li Chen1, Chunlin Li2, Xiaotong Shen1

  • 1School of Statistics, University of Minnesota, Minneapolis, MN 55455.

Journal of the American Statistical Association
|February 21, 2025
PubMed
概括

这项研究引入了GrIVET,一种用于高斯定向非循环图中因果发现和推断的新方法,具有未测量的混因子. 格里维特有效估计因果关系,处理隐藏变量,在生物数据分析方面显示出前景.

关键词:
因果发现因果发现.高斯定向非循环图是指向的非循环图.基因监管网络 基因监管网络不有效的仪器变量同时推断的推理.不确定的干预措施

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