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In this paper we prove the invariance of some causality relationships between flows of information, represented by filtrations, under some types of convergence. We consider a statistical concept of causality which is based on Granger's definition of causality, but instead of time series we focus on continuous time processes. In addition, we give an alternative characterization of causality in continuous time.

causality, filtration, conditional independence, weak convergence of filtrations