Regression Based Causal Induction with Latent Variable Models

Scientists largely explain observations by inferring causal relationships among measured variables. Many algorithms with various theoretical foundations have been developed for causal induction e.g., (Spirtes, Glymour, and Scheines 1993; Pearl and Verma 1991), but it is widely believed that regression is ill-suited to the task of causal induction.

Authors

• Lisa A. Ballesteros

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