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Imprecise Probability/Evidence
Method evidence record

Imprecise Probability

Imprecise probability is a generalization of standard probability theory that represents epistemic uncertainty through sets of probability measures, called credal sets, rather than a single precise distribution. Introduced systematically by Peter Walley in his 1991 monograph, the framework characterizes beliefs via lower and upper probabilities (or previsions), bracketing the range of plausible probability assignments when available information is insufficient to determine a unique measure.

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Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.

Imprecise Probability (Lower-Upper Probabilities)
Taxonomic method record · bayesian / soft-computing
  • Walley, P. (1991). Statistical Reasoning with Imprecise Probabilities. Chapman & Hall. · ISBN 978-0-412-28660-5
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Related methods

Generated from the method graph and shown as machine-suggested relations — no evidence claim is inferred.

Same method familyBayesian Inferencemachine-suggested · Relational suggestion, not evidence.Used in the same domainDempster-Shafer Theorymachine-suggested · Relational suggestion, not evidence.Often confused withPossibility Theorymachine-suggested · Relational suggestion, not evidence.

Evidence status

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Bibliographic sources are present. Claim-level evidence review has not been performed.

Sources

1 recorded citation, copied from the method source record.

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