Contextuality in tree-like graphs
A. A. Strakhov, V. I. Man'ko
TL;DR
This paper explores the problem of contextuality in tree-like graphs, presenting new solutions for joint probability distributions that match given marginals, supported by numerical examples.
Contribution
It introduces novel solutions for joint probability distributions in contextuality problems on tree-like graphs, expanding previous approaches.
Findings
New solutions for joint probability distributions are identified.
Numerical examples demonstrate the effectiveness of these solutions.
The study advances understanding of contextuality in structured graphs.
Abstract
The contextuality problem connected with existence of joint probability distribution creating all the given marginals is studied. It is shown for several examples considered previously in literature that there exist some new solutions for the joint probability distributions providing the given marginals and numerical example of the new solution is demonstrated.
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Taxonomy
TopicsProbabilistic and Robust Engineering Design · Bayesian Modeling and Causal Inference