Scaling up Greedy Causal Search for Continuous Variables

28 Jul 2015 Joseph D. Ramsey

As standardly implemented in R or the Tetrad program, causal search algorithms used most widely or effectively by scientists have severe dimensionality constraints that make them inappropriate for big data problems without sacrificing accuracy. However, implementation improvements are possible... (read more)

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