PolyTree

Given a data matrix with rows representing data vectors and columns representing variables, produces a directed polytree for the underlying causal structure. Based on the algorithm developed in Chatterjee and Vidyasagar (2022) doi:10.48550/arXiv.2209.07028. The method is fully nonparametric, making no use of linearity assumptions, and especially useful when the number of variables is large.

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