Cyclic Causal Discovery from Continuous Equilibrium Data

26 Sep 2013Joris MooijTom Heskes

We propose a method for learning cyclic causal models from a combination of observational and interventional equilibrium data. Novel aspects of the proposed method are its ability to work with continuous data (without assuming linearity) and to deal with feedback loops... (read more)

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