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Bayesianism without Learning

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Author Info

  • Dov Samet

    (Faculty of Management Tel Aviv University)

Abstract

According to the standard definition, a Bayesian agent is one who forms his posterior belief by conditioning his prior belief on what he has learned, that is, on facts of which he has become certain. Here it is shown that Bayesianism can be described without assuming that the agent acquires any certain information; an agent is Bayesian if his prior, when conditioned on his posterior belief, agrees with the latter. This condition is shown to characterize Bayesian models.

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File URL: http://128.118.178.162/eps/game/papers/9902/9902004.pdf
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Bibliographic Info

Paper provided by EconWPA in its series Game Theory and Information with number 9902004.

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Length: 17 pages
Date of creation: 23 Feb 1999
Date of revision:
Handle: RePEc:wpa:wuwpga:9902004

Note: Type of Document - ; pages: 17
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Web page: http://128.118.178.162

Related research

Keywords: Bayesian updating; prior and posterior;

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References

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  1. Heifetz, Aviad & Samet, Dov, 1998. "Topology-Free Typology of Beliefs," Journal of Economic Theory, Elsevier, vol. 82(2), pages 324-341, October.
  2. Samet, Dov, 1998. "Iterated Expectations and Common Priors," Games and Economic Behavior, Elsevier, vol. 24(1-2), pages 131-141, July.
  3. Giacomo Bonanno & Pierpaolo Battigalli, 2004. "The Logic Of Belief Persistency," Working Papers 9518, University of California, Davis, Department of Economics.
  4. Samet, Dov, 2000. "Quantified Beliefs and Believed Quantities," Journal of Economic Theory, Elsevier, vol. 95(2), pages 169-185, December.
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Cited by:
  1. Lehrer, Ehud & Samet, Dov, 2011. "Agreeing to agree," Theoretical Economics, Econometric Society, vol. 6(2), May.
  2. Heifetz, Aviad & Meier, Martin & Schipper, Burkhard C, 2009. "Unawareness, Beliefs and Speculative Trade," MPRA Paper 18437, University Library of Munich, Germany.

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