Robust Bayesian Network
A Robust Bayesian Network extends a classical Bayesian network by replacing each precise conditional probability table with a set of allowable probability distributions — called a credal set. Instead of a single probability for each query, inference returns a range of probabilities, honestly reflecting uncertainty about the model's numeric parameters while preserving the interpretable directed-acyclic-graph structure.
Source record
Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.
- Cozman, F. G. (2000). Credal networks. Artificial Intelligence, 120(2), 199-233. · DOI 10.1016/S0004-3702(00)00029-1
- Walley, P. (1991). Statistical Reasoning with Imprecise Probabilities. Chapman and Hall, London. · ISBN 978-0412286605
Curated claims
Claims persisted in the evidence ledger, each with its own assessment.
This view does not invent a claim assessment when the ledger has none.
Related methods
Generated from the method graph and shown as machine-suggested relations — no evidence claim is inferred.