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Discovering causal structures in Bayesian Gaussian directed acyclic graph models

  • Published:2020-02-03 Issue:4 Volume:183 Page:1727-1745
  • ISSN:0964-1998
  • Container-title:Journal of the Royal Statistical Society: Series A (Statistics in Society)
  • language:en
  • Short-container-title:J. R. Stat. Soc. A

Author:

Castelletti Federico1,Consonni Guido1

Affiliation:

1. Università Cattolica del Sacro Cuore Milan Italy

Publisher

Wiley

Subject

Statistics, Probability and Uncertainty,Economics and Econometrics,Social Sciences (miscellaneous),Statistics and Probability

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Data-driven approaches linking wastewater and source estimation hazardous waste for environmental management;Nature Communications;2024-06-26

2. Bayesian Sample Size Determination for Causal Discovery;Statistical Science;2024-05-01

3. Robot Causal Discovery Aided by Human Interaction;2023 32nd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN);2023-08-28

4. Combining ontology and probabilistic models for the design of bio-based product transformation processes;Expert Systems with Applications;2022-10

5. A review of causal discovery methods for molecular network analysis;Molecular Genetics & Genomic Medicine;2022-09-10
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