On the pitfalls of Gaussian likelihood scoring for causal discovery
نویسندگان
چکیده
Abstract We consider likelihood score-based methods for causal discovery in structural models. In particular, we focus on Gaussian scoring and analyze the effect of model misspecification terms non-Gaussian error distribution. present a surprising negative result combination with nonparametric regression methods.
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ژورنال
عنوان ژورنال: Journal of causal inference
سال: 2023
ISSN: ['2193-3677', '2193-3685']
DOI: https://doi.org/10.1515/jci-2022-0068