Causal Identification with Additive Noise Models: Quantifying the Effect of Noise

Unpublished conference/Abstract (Scientific congresses, symposiums and conference proceedings)

KAP, Benjamin; ALEKSANDROVA, Marharyta; ENGEL, Thomas

2021 • 10èmes Journées Francophones sur les Réseaux Bayésiens et les Modèles Graphiques Probabilistes (JFRB-2021)

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https://hdl.handle.net/10993/49343

JFRB_2021.pdf

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Disciplines :

Computer science

Author, co-author :

KAP, Benjamin ; University of Luxembourg > Faculty of Science, Technology and Medecine (FSTM)

ALEKSANDROVA, Marharyta ; University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS)

ENGEL, Thomas ; University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS)

External co-authors :

Language :

English

Title :

Causal Identification with Additive Noise Models: Quantifying the Effect of Noise

Publication date :

2021

Event name :

10èmes Journées Francophones sur les Réseaux Bayésiens et les Modèles Graphiques Probabilistes (JFRB-2021)

Event date :

from 11-10-2021 to 12-10-2021

Audience :

International

Focus Area :

Computational Sciences

Additional URL :

Available on ORBilu :

since 07 January 2022

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