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 | |||||||||
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| 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 and Policy |
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| Depositing User: | Stephan Hartmann | |||||||||
| Date Deposited: | 17 Oct 2009 | |||||||||
| Last Modified: | 12 Jul 2024 17:28 | |||||||||
| Item ID: | 4955 | |||||||||
| Subjects: | Specific Sciences > Probability/Statistics General Issues > Decision Theory General Issues > Confirmation/Induction General Issues > Science and Policy |
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| Date: | October 2009 | |||||||||
| URI: | https://philsci-archive.pitt.edu/id/eprint/4955 |
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