Causal Discovery: Why Conditional Independence Can Recover a Graph - and When It Cannot
Correlation tells you that two variables move together. It does not tell you why. Causal discovery is the attempt to go one step further: given observational data alone, can we recover the causal graph that generated it? Sometimes the answer is yes, up to an important qualification. Sometimes it is…
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- 2026-10-30 11:01 · DEV Community — Machine Learning
Causal Discovery: Why Conditional Independence Can Recover a Graph - and When It Cannot