Toward Falsifying Causal Graphs Using a Permutation-Based Test

Understanding the causal relationships among the variables of a system is paramount to explain and control its behaviour. Inferring the causal graph from observational data without interventions, however, requires a lot of strong assumptions that are not always realistic. Even for domain experts it...

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Bibliographische Detailangaben

Hauptverfasser:	Eulig, Elias, Mastakouri, Atalanti A, Blöbaum, Patrick, Hardt, Michaela, Janzing, Dominik
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Learning Statistics - Machine Learning
Online-Zugang:	Volltext bestellen
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