The Annals of Probability · 2001 · 54 citations · 9 references
Natural SciencesMathematicsProbability TheorySet TheoryUncertainty QuantificationConditional ProbabilityProbability DistributionsUncertainty RepresentationConditional Probability ModelsRandom SetsRegular Conditional Probability
Improper regular conditional distributions (rcd’s) given a $\sigma$-field $\mathscr{A}$ have the following anomalous property. For sets $A \in \mathscr{A}, \mathrm{Pr}(A|\mathscr{A})$ is not always equal to the indicator of $A$. Such a property makes the conditional probability puzzling as a representation of uncertainty. When rcd’s exist and the$\sigma$-field $\mathscr{A}$ is countably generated, then almost surely the rcd is proper. We give sufficient conditions for an rcd to be improper in a maximal sense, and show that these conditions apply to the tail $\sigma$-field and the $\sigma$-field of symmetric events.
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PE, P. Billingsley · Journal of the American Statistical Association · 1996 · 6.7K citations
Foundations of the Theory of Probability
B. C. Brookes, A. N. Kolmogorov · The Mathematical Gazette · 1951 · 1.7K citations
Harold Jeffreys · Zenodo (CERN European Organization for Nuclear Research) · 1922 · 1.3K citations · Full text