Functional Bayesian networks for discovering causality from multivariate functional data.

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第一作者： Fangting,Zhou

第一单位： Department of Statistics, Texas A&M University, College Station, Texas, USA.;Center for Applied Statistics, Institute of Statistics and Big Data, Renmin University of China, Beijing, China.

作者： Fangting,Zhou ^[1] ; Kejun,He ^[2] ; Kunbo,Wang ^[3] ; Yanxun,Xu ^[3] ; Yang,Ni ^[4]

作者单位： Department of Statistics, Texas A&M University, College Station, Texas, USA.;Center for Applied Statistics, Institute of Statistics and Big Data, Renmin University of China, Beijing, China. ^[1] Center for Applied Statistics, Institute of Statistics and Big Data, Renmin University of China, Beijing, China. ^[2] Department of Applied Mathematics and Statistics, Johns Hopkins University, Baltimore, Maryland, USA. ^[3] Department of Statistics, Texas A&M University, College Station, Texas, USA. ^[4]

关键词 causal discovery directed acyclic graphs multivariate longitudinal/functional data non-Gaussianity structure learning

主题词贝叶斯定理(Bayes Theorem);因果律(Causality);计算机模拟(Computer Simulation);偏差(Uncertainty)

DOI 10.1111/biom.13922

PMID 37635676

发布时间 2024-12-02

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