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Bayesian Estimation of Causal Direction in Acyclic Structural Equation Models with Individual-specific Confounder Variables and Non-Gaussian Distributions

Several existing methods have been shown to consistently estimate causal direction assuming linear or some form of nonlinear relationship and no latent confounders. However, the estimation results could be distorted if either assumption is violated. We develop an approach to determining the possible...

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書目詳細資料
發表在:J Mach Learn Res
Main Authors: Shimizu, Shohei, Bollen, Kenneth
格式: Artigo
語言:Inglês
出版: 2014
主題:
在線閱讀:https://ncbi.nlm.nih.gov/pmc/articles/PMC6688762/
https://ncbi.nlm.nih.gov/pubmed/31402848
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