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A Bayesian justification for the linear pooling of opinions

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Summary

It is known that the problem of combining a number of expert probability evaluations is frequently solved with additive or multiplicative rules. In this paper we try to show, with the help of a behavioural model, that the additive rule (or linear pooling) derives from the application of Bayesian reasoning. In another occasion we will discuss the multiplicative rule.

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References

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Authors and Affiliations

  1. Università degli Studi di Bologna, Bologna, Italia

    Mario Di Bacco

  2. Università degli Studi di Venezia, Venezia, Italia

    Vergilius Mocellin

Authors
  1. Mario Di Bacco
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  2. Vergilius Mocellin
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Additional information

Research supported by C.N.R. and Ministry of University and Technological and Scientific Research.

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Di Bacco, M., Mocellin, V. A Bayesian justification for the linear pooling of opinions. J. It. Statist. Soc. 1, 325–334 (1992). https://doi.org/10.1007/BF02589084

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  • DOI: https://doi.org/10.1007/BF02589084

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