Directed Cyclic Graphs for Causal Discovery from Longitudinal Data
A team from Johns Hopkins University, Texas A&M University, and Georgetown University built the first causal discovery framework that handles cyclic feedback loops in longitudinal data — and proved it actually works, using HIV patient records as a real-world test.
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