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Repetitive causal discovery of linear non-Gaussian acyclic models in the presence of latent confounders

Takashi Maeda, Shohei Shimizu

2021International Journal of Data Science and Analytics11 citationsDOI

Topics & Concepts

ConfoundingLatent variableCausal modelCausal structureStructural equation modelingEconometricsComputer scienceStatisticsMathematicsPhysicsQuantum mechanicsBayesian Modeling and Causal InferenceMulti-Criteria Decision MakingCognitive Science and Mapping
Repetitive causal discovery of linear non-Gaussian acyclic models in the presence of latent confounders | Litcius