Bayesian methodsUncertainty theory

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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Sources

  1. Walley, P. (1991). Statistical Reasoning with Imprecise Probabilities. Chapman & Hall. ISBN: 978-0-412-28660-5

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Referenced by

ScholarGateImprecise Probability (Imprecise Probability (Lower-Upper Probabilities)). Retrieved 2026-06-04 from https://scholargate.app/tr/soft-computing/imprecise-probability