backShift: Learning Causal Cyclic Graphs from Unknown Shift Interventions (original) (raw)

Code for 'backShift', an algorithm to estimate the connectivity matrix of a directed (possibly cyclic) graph with hidden variables. The underlying system is required to be linear and we assume that observations under different shift interventions are available. For more details, see <doi:10.48550/arXiv.1506.02494>.

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