RDMDL estimates cause-variable complexity using minimum rate for histogram-derived distortion via information dimension, combined with standard mechanism complexity, yielding competitive causal direction accuracy on Tübingen data.
Causal discovery toolbox: Uncover causal relationships in python.arXiv preprint arXiv:1903.02278
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Bivariate Causal Discovery Using Rate-Distortion MDL: An Information Dimension Approach
RDMDL estimates cause-variable complexity using minimum rate for histogram-derived distortion via information dimension, combined with standard mechanism complexity, yielding competitive causal direction accuracy on Tübingen data.