An overview of recent advancements in causal studies

DOI10.1007/s11831-016-9168-1zbMath1364.05032OpenAlexW2234503008WikidataQ113323237 ScholiaQ113323237MaRDI QIDQ2359616

Pramod Kumar Parida, S. Chakraverty, Tshilidzi Marwala

Publication date: 22 June 2017

Published in: Archives of Computational Methods in Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11831-016-9168-1

Mathematics Subject Classification ID

Applications of graph theory (05C90) Research exposition (monographs, survey articles) pertaining to combinatorics (05-02) Research exposition (monographs, survey articles) pertaining to statistics (62-02) Directed graphs (digraphs), tournaments (05C20) Foundational topics in statistics (62A99)

Uses Software

• TETRAD
• DirectLiNGAM

Cites Work

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• Causation, prediction, and search
• Being Bayesian about network structure. A Bayesian approach to structure discovery in Bayesian networks
• 10.1162/153244303768966085
• Learning Theory
• Algorithmic Learning Theory

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