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The shape of incomplete preferences

Publication ,  Journal Article
Nau, R
Published in: Annals of Statistics
October 1, 2006

Incomplete preferences provide the epistemic foundation for models of imprecise subjective probabilities and utilities that are used in robust Bayesian analysis and in theories of bounded rationality. This paper presents a simple axiomatization of incomplete preferences and characterizes the shape of their representing sets of probabilities and utilities. Deletion of the completeness assumption from the axiom system of Anscombe and Aumann yields preferences represented by a convex set of state-dependent expected utilities, of which at least one must be a probability/utility pair. A strengthening of the state-independence axiom is needed to obtain a representation purely in terms of a set of probability/utility pairs. © Institute of Mathematical Statistics, 2006.

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Published In

Annals of Statistics

DOI

ISSN

0090-5364

Publication Date

October 1, 2006

Volume

34

Issue

5

Start / End Page

2430 / 2448

Related Subject Headings

  • Statistics & Probability
  • 1403 Econometrics
  • 0104 Statistics
  • 0102 Applied Mathematics
 

Citation

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Nau, R. (2006). The shape of incomplete preferences. Annals of Statistics, 34(5), 2430–2448. https://doi.org/10.1214/009053606000000740
Nau, R. “The shape of incomplete preferences.” Annals of Statistics 34, no. 5 (October 1, 2006): 2430–48. https://doi.org/10.1214/009053606000000740.
Nau R. The shape of incomplete preferences. Annals of Statistics. 2006 Oct 1;34(5):2430–48.
Nau, R. “The shape of incomplete preferences.” Annals of Statistics, vol. 34, no. 5, Oct. 2006, pp. 2430–48. Scopus, doi:10.1214/009053606000000740.
Nau R. The shape of incomplete preferences. Annals of Statistics. 2006 Oct 1;34(5):2430–2448.

Published In

Annals of Statistics

DOI

ISSN

0090-5364

Publication Date

October 1, 2006

Volume

34

Issue

5

Start / End Page

2430 / 2448

Related Subject Headings

  • Statistics & Probability
  • 1403 Econometrics
  • 0104 Statistics
  • 0102 Applied Mathematics