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What is causal about causal models and representations?

Jørgensen, Frederik Hytting et al.
arXiv (All) · Papers
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machine-learningstatistics-theory
Causal Bayesian networks are often described as causal because they support reasoning about interventions. Yet interventions are defined in the mathematical model, whereas the resulting model predictions concern the effects of actions in the real world. Consequently, whether and how a causal model m
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