Necessary and Sufficient Conditions for Causal Feature Selection in Time Series
with Latent Common Causes
Atalanti A. Mastakouri 1 Bernhard, Schlkopf 1 2 Dominik, Janzing 1
Abstract discovery of the causal graph from data is largely based on
We study the identification of direct and indirect the graphical criterion of d-separation formalizing the set
causes on time series with latent variables, and of conditional independen ...


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