By Daniela Schkoda and Mathias Drton

The field of causal discovery develops model selection methods to infer cause-effect relations among a set of random variables. For this purpose, different modelling assumptions have been proposed to render cause-effect relations identifiable. One prominent assumption is that the joint distribution of the observed variables follows a linear non-Gaussian structural... Show more

November 8, 2023

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Goodness-of-Fit Tests for Linear Non-Gaussian Structural Equation Models

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