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Cited by 303

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Updating Subjective Probability

Diaconis, Persi, Zabell, Sandy L.·1982·Journal of the American Statistical Association

Abstract

Jeffrey's rule for revising a probability P to a new probability P* based on new probabilities P* (Ei ) on a partition {Ei } i = 1 n is P*(A) = Σ P(A| Ei ) P* (Ei ). Jeffrey's rule is applicable if it is judged that P* (A | Ei ) = P(A | Ei ) for all A and i. This article discusses some of the mathematical properties of this rule, connecting it with sufficient partitions, and maximum entropy updating of contingency tables. The main results concern simultaneous revision on two partitions.

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Metadata

Authors
Diaconis, P., & Zabell, S. L.
Venue
Journal of the American Statistical Association
Published
1982-12
Volume
77
Issue
380
Pages
822-830
ISSN
  • 0162-1459 (ISSN-L)
  • 1537-274X
OpenAlex
W1991884749
Cited by
303
References
1
FWCI
4.88
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Updating Subjective Probability. https://app.cochat.ai/papers/10.1080/01621459.1982.10477893
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Diaconis, P., & Zabell, S. L. (1982). Updating Subjective Probability. Journal of the American Statistical Association. https://doi.org/10.1080/01621459.1982.10477893

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