Artigo Acesso aberto Revisado por pares

LOGARITHMIC MARKETS CORING RULES FOR MODULAR COMBINATORIAL INFORMATION AGGREGATION

2012; Volume: 1; Issue: 1 Linguagem: Inglês

10.5750/jpm.v1i1.417

ISSN

1750-676X

Autores

Robin Hanson,

Tópico(s)

Auction Theory and Applications

Resumo

In practice, scoring rules elicit good probability estimates from individuals, while betting markets elicit good consensus estimates from groups. Market scoring rules combine these features, eliciting estimates from individuals or groups, with groups costing no more than individuals. Regarding a bet on one event given another event, only logarithmic versions preserve the probability of the given event. Logarithmic versions also preserve the conditional probabilities of other events, and so preserve conditional independence relations. Given logarithmic rules that elicit relative probabilities of base event pairs, it costs no more to elicit estimates on all combinations of these base events.

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