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Full Causal Graph Recovery Under Arbitrary Nonlinear Latent Confounding
Sourced from the work of Daniele Tramontano, Jalal Etesami, Mathias Drton
§ Problem Statement
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§ Discussion
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§ Significance & Implications
§ Known Partial Results
§ References
[1]
Parameter identification in linear non-Gaussian causal models under general confounding
Daniele Tramontano, Jalal Etesami, Mathias Drton (2024)
Annals of Statistics (to appear)
📍 Section 7 (Cyclic Graphs), discussion of extending identifiability to cyclic models with nonlinear latent confounding.
Source paper where this problem appears.