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Bayesian methodsUncertainty theory

不精确概率

不精确概率是标准概率论的推广,它通过概率测度集(称为信度集)而非单一精确分布来表示认知不确定性。该框架由 Peter Walley 在其 1991 年的专著中系统性地提出,通过下概率和上概率(或先验)来刻画信念,当可用信息不足以确定唯一测度时,它们界定了合理概率赋值的范围。

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来源

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

如何引用本页

ScholarGate. (2026, June 2). Imprecise Probability (Lower-Upper Probabilities). ScholarGate. https://scholargate.app/zh/soft-computing/imprecise-probability

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被引用于

ScholarGateImprecise Probability (Imprecise Probability (Lower-Upper Probabilities)). 于 2026-06-15 检索自 https://scholargate.app/zh/soft-computing/imprecise-probability · 数据集: https://doi.org/10.5281/zenodo.20539026