The Weight of Competence under a Realistic Loss Function
Hartmann, Stephan and Sprenger, Jan (2009) The Weight of Competence under a Realistic Loss Function.
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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.
| Keywords: | Collective decision-making, information pooling, loss functions |
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| Subjects: | Specific Sciences: Probability/Statistics General Issues: Decision Theory General Issues: Confirmation/Induction General Issues: Science Policy |
| ID Code: | 4955 |
| Deposited By: | Hartmann, Stephan |
| Deposited On: | 17 October 2009 |
| Additional Information: | The paper will appear in the Logic Journal of the IGPL |