A grouped additive noise model is identifiable under a technical condition, and the GroupRESIT-MURGS algorithm learns causal graphs among variable groups.
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Nonlinear Causal Discovery for Grouped Data
A grouped additive noise model is identifiable under a technical condition, and the GroupRESIT-MURGS algorithm learns causal graphs among variable groups.