An Interpretation of Weights in Linear Opinion Pooling
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Abstract This paper explores the fact that linear opinion pooling can be represented as a Bayesian update on the opinions of others. It uses this fact to propose a new interpretation of the pooling weights. Relative to certain modelling assumptions the weights can be equated with the so-called truth-conduciveness known from the context of Condorcet's jury theorem. This suggests a novel way to elicit the weights.
1993 ◽
Vol 9
(3)
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pp. 437-446
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2006 ◽
Vol 28
(3)
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pp. 507-528
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Keyword(s):