Autor: |
Schultheiss Christoph, Bühlmann Peter |
Jazyk: |
angličtina |
Rok vydání: |
2023 |
Předmět: |
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Zdroj: |
Journal of Causal Inference, Vol 11, Iss 1, Pp 689-96 (2023) |
Druh dokumentu: |
article |
ISSN: |
2193-3685 |
DOI: |
10.1515/jci-2022-0068 |
Popis: |
We consider likelihood score-based methods for causal discovery in structural causal models. In particular, we focus on Gaussian scoring and analyze the effect of model misspecification in terms of non-Gaussian error distribution. We present a surprising negative result for Gaussian likelihood scoring in combination with nonparametric regression methods. |
Databáze: |
Directory of Open Access Journals |
Externí odkaz: |
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