A Bayesian network is proposed to deal with equivocal
Research gap analysis derived from 3 mathematics papers in our local library.
The gap
A Bayesian network is proposed to deal with equivocal evidence and its use is illustrated through examples.
Evidence profile
Stated in the cells research gap and abstract sections of the source papers, classified as general, drawn from work published between 2020 and 2026, spanning 2 journals. Those papers have been cited 7 times in total.
Research trend
Established — well-defined area with open sub-problems.
Supporting evidence — 3 representative gaps
- TRISDUCTION: The Geometry of Convergent Epistemic Warrant (2026) · Zenodo (CERN European Organization for Nuclear Research) · doi
The lack of a formal architecture for verifying genuine independence and convergence of evidence in epistemology. - The need for a structure to verify independence and convergence beyond Bayesian high posterior probability or other methods.
generalstated in cells research gapevidence 5/5Keywords: lack formal architecture verifying genuine independence convergence evidence - Coherently updating degrees of belief: Radical Probabilism, the generalization of Bayes’ Theorem and its consequences on evidence evaluation (2020) · Law Probability and Risk · cited 5× · doi
How can such equivocal evidence be used in further inferences about a main hypothesis? The theoretical ground is introduced with the aim of offering to the readership an explanation for the generalization of the Bayes’ Theorem.
generalstated in abstractevidence 4/5Keywords: equivocal evidence used further inferences main hypothesis theoretical ground introduced offering readership explanation generalization bayes - A probabilistic graphical model for assessing equivocal evidence (2024) · Law Probability and Risk · cited 2× · doi
A Bayesian network is proposed to deal with equivocal evidence and its use is illustrated through examples.
generalstated in abstractevidence 3/5Keywords: bayesian network proposed deal equivocal evidence illustrated examples
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