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Learning causal theories with non-reversible MCMC methods Cover

Learning causal theories with non-reversible MCMC methods

Control and Cybernetics
Volume 50 (2021): Issue 3 (September 2021)
By: Antonina Krajewska  
Open Access
|Jun 2022
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DOI: https://doi.org/10.2478/candc-2021-0021 | Journal eISSN: 2720-4278 | Journal ISSN: 0324-8569
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Language: English
Page range: 323 - 361
Submitted on: May 1, 2021
Accepted on: Jul 1, 2021
Published on: Jun 27, 2022
Published by: Systems Research Institute Polish Academy of Sciences
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Bayesian inference,
causal systems,
directed acyclic graph,
MCMC,
non-reversible Markov processes,
search and score methods
Related subjects:
Computer sciences,
Computer sciences, other,
Engineering,
Electrical engineering,
Fundamentals of electrical engineering,
Mechanical engineering,
Fundamentals of mechanical engineering,
Mathematics,
General mathematics

© 2022 Antonina Krajewska, published by Systems Research Institute Polish Academy of Sciences
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Volume 50 (2021): Issue 3 (September 2021)
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