The most likely common cause
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Publication:6596714
DOI10.1016/j.ijar.2024.109264MaRDI QIDQ6596714
A. E. Allahverdyan, A. O. Oganesyan
Publication date: 2 September 2024
Published in: International Journal of Approximate Reasoning (Search for Journal in Brave)
Communication, information (94Axx) Sufficiency and information (62Bxx) Foundational topics in statistics (62Axx)
Cites Work
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- Reichenbachian common cause systems revisited
- From microphysics to macrophysics. Methods and applications of statistical physics. II. Translated from the French by D. ter Haar.
- Explaining correlations by partitions
- A refinement of the common cause principle
- Predictive likelihood: A review. With comments and a rejoinder by the author
- Observational nonidentifiability, generalized likelihood and free energy
- Quantifying causal influences
- Model selection by normalized maximum likelihood
- The Principle of Maximum Causal Entropy for Estimating Interacting Processes
- Nonstationary Time Series, Cointegration, and the Principle of the Common Cause
- Causality: Some Statistical Aspects
- Causal Inference Using the Algorithmic Markov Condition
- Validity limits of the maximum entropy method
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