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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
Creators:
CreatorsEmailORCID
Hartmann, Stephan
Sprenger, Jan
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 15:18
Item ID: 4955
URI: http://philsci-archive.pitt.edu/id/eprint/4955

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