Causal order identification to address confounding: binary variables
Author:
Funder
Kakenhi Foundation
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Clinical Psychology,Experimental and Cognitive Psychology,Analysis
Link
https://link.springer.com/content/pdf/10.1007/s41237-021-00149-5.pdf
Reference19 articles.
1. Chen Z, Chan L (2013) Causality in linear non-Gaussian acyclic models in the presence of latent Gaussian confounders. Neural Comput 25:1605–1641
2. Chickering DM (2002) Optimal structure identification with greedy search. J Mach Learn Res 3:507–554
3. Comon P (1994) Independent component analysis, a new concept? Signal Process 36:62–83
4. Darmois G (1953) Analyse générale des liaisons stochastiques: etude particulière de l’analyse factorielle linéaire. Rev Int Stat Inst 21:2–8
5. Entner D (2013) Causal structure learning and effect identification in linear non-Gaussian models and beyond. PhD thesis, University of Helsinki
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1. Introduction to the Vol. 49, No. 1, 2022;Behaviormetrika;2022-01
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