Quasiprobability models in Bayesian networks generalize to produce all non-signalling correlations for a broad class of networks and conjecturally recover the nested Markov model.
Beyond B ell's theorem: correlation scenarios
2 Pith papers cite this work, alongside 257 external citations. Polarity classification is still indexing.
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Three authors each propose a resolution to Bell's theorem by dropping counterfactual definiteness, with one linking CHSH violation strength to spatial dimensions.
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Bounding Classical and Quantum Correlations in Bayesian Networks with Quasiprobabilities
Quasiprobability models in Bayesian networks generalize to produce all non-signalling correlations for a broad class of networks and conjecturally recover the nested Markov model.
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Three ways to find comfort with the Bell proof and the results of the Bell experiments
Three authors each propose a resolution to Bell's theorem by dropping counterfactual definiteness, with one linking CHSH violation strength to spatial dimensions.