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cs.DM2021★ 3 cited
Causal Inference Theory with Information Dependency Models
Benjamin Heymann, Michel de Lara, Jean-Philippe Chancelier
Inferring the potential consequences of an unobserved event is a fundamental scientific question. To this end, Pearl's celebrated do-calculus provides a set of inference rules to d…
cs.DM2021★ 1 cited
Topological Conditional Separation
Michel de Lara, Jean-Philippe Chancelier, Benjamin Heymann
Pearl's d-separation is a foundational notion to study conditional independence between random variables. We define the topological conditional separation and we show that it is eq…