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Causal Effect Identification in Alternative Acyclic Directed Mixed Graphs
Linköping University, Department of Computer and Information Science, The Division of Statistics and Machine Learning. Linköping University, Faculty of Science & Engineering. (STIMA)
2017 (English)In: Proceedings of the 3rd Workshop on Advanced Methodologies for Bayesian Networks (AMBN 2017) - Proceedings of Machine Learning Research 73, 21-32, 2017Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
2017.
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Computer Sciences
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URN: urn:nbn:se:liu:diva-159353OAI: oai:DiVA.org:liu-159353DiVA, id: diva2:1341386
Conference
the 3rd Workshop on Advanced Methodologies for Bayesian Networks (AMBN 2017), Kyoto, Japan, 20-22 September 2017
Available from: 2019-08-08 Created: 2019-08-08 Last updated: 2019-08-16Bibliographically approved

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Peña, Jose M.

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CiteExportLink to record
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