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The Weight of Competence under a Realistic Loss Function

Hartmann, Stephan and Sprenger, Jan (2009) The Weight of Competence under a Realistic Loss Function. [Preprint]

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    Abstract

    In many scientific, economic and policy-related problems, pieces of information from different sources have to be aggregated. Typically, the sources are not equally competent. This raises the question of how the relative weights and competences should be related to arrive at an optimal final verdict. Our paper addresses this question under a more realistic perspective of measuring the practical loss implied by an inaccurate verdict.


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    Item Type: Preprint
    Additional Information: The paper will appear in the Logic Journal of the IGPL
    Keywords: Collective decision-making, information pooling, loss functions
    Subjects: Specific Sciences > Probability/Statistics
    General Issues > Decision Theory
    General Issues > Confirmation/Induction
    General Issues > Science Policy
    Depositing User: Stephan Hartmann
    Date Deposited: 17 Oct 2009
    Last Modified: 07 Oct 2010 11:18
    Item ID: 4955
    URI: http://philsci-archive.pitt.edu/id/eprint/4955

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