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Variational Bayes and non-Bayesian Updating

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  • Tomasz Strzalecki

Abstract

I show how variational Bayes can be used as a microfoundation for a popular model of non-Bayesian updating.

Suggested Citation

  • Tomasz Strzalecki, 2024. "Variational Bayes and non-Bayesian Updating," Papers 2405.08796, arXiv.org, revised May 2024.
    • Handle: RePEc:arx:papers:2405.08796
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    References listed on IDEAS

    as
    1. Daniel J. Benjamin & Matthew Rabin & Collin Raymond, 2016. "A Model of Nonbelief in the Law of Large Numbers," Journal of the European Economic Association, European Economic Association, vol. 14(2), pages 515-544.
    2. repec:dau:papers:123456789/1908 is not listed on IDEAS
    3. P. G. Bissiri & C. C. Holmes & S. G. Walker, 2016. "A general framework for updating belief distributions," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 78(5), pages 1103-1130, November.
    4. Drew Fudenberg & David K. Levine, 1998. "The Theory of Learning in Games," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262061945, April.
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