Foundations of Structural Causal Models with Cycles and Latent Variables

18 Nov 2016Stephan BongersPatrick ForréJonas PetersBernhard SchölkopfJoris M. Mooij

Structural causal models (SCMs), also known as (non-parametric) structural equation models (SEMs), are widely used for causal modeling purposes. In particular, acyclic SCMs, also known as recursive SEMs, form a well-studied subclass of SCMs that generalize causal Bayesian networks to allow for latent confounders... (read more)

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