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Bayes Factors and Maximum Entropy Distribution with Application to Bayesian Tests

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Topics in Statistical Simulation

Part of the book series: Springer Proceedings in Mathematics & Statistics ((PROMS,volume 114))

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Abstract

In this paper we propose the analysis and the solution of some parametric two-sided tests, combining the Bayes factors logic with the maximum entropy method, that allows to obtain the less informative a priori probability distribution, taking into account the amount of initial information available to the experimenter.

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Author information

Authors and Affiliations

  1. Department of Statistics, University of Padova, Padova, Italy

    Adriana Brogini & Giorgio Celant

Authors
  1. Adriana Brogini
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  2. Giorgio Celant
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Corresponding author

Correspondence to Adriana Brogini .

Editor information

Editors and Affiliations

  1. St.Petersburg State University, St.Petersburg, Russia

    V.B. Melas

  2. University of Bologna, Rimini, Italy

    Stefania Mignani

  3. University of Bologna, Rimini, Italy

    Paola Monari

  4. University of Padova, Padova, Italy

    Luigi Salmaso

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Brogini, A., Celant, G. (2014). Bayes Factors and Maximum Entropy Distribution with Application to Bayesian Tests. In: Melas, V., Mignani, S., Monari, P., Salmaso, L. (eds) Topics in Statistical Simulation. Springer Proceedings in Mathematics & Statistics, vol 114. Springer, New York, NY. https://doi.org/10.1007/978-1-4939-2104-1_9

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