Érudit | Dépôt de documents >
CIRPÉE - Centre interuniversitaire sur le risque, les politiques économiques et l'emploi >
Cahiers de recherche du CIRPÉE >

Please use this identifier to cite or link to this item:

Title: Social Choice, Optimal Inference and Figure Skating
Authors: Gordon, Stephen
Truchon, Michel
Keywords: Vote aggregation
Ranking rules
Figure skating
Bayesian methods
Optimal inference
Markov Chain Monte Carlo
Issue Date: 2007-02
Series/Report no.: Cahiers du CIRPÉE;06-24
Abstract: We approach the social choice problem as one of optimal statistical inference. If individual voters or judges observe the true order on a set of alternatives with error, then it is possible to use the set of individual rankings to make probability statements about the correct social order. Given the posterior distribution for orders and a suitably chosen loss function, an optimal order is one that minimises expected posterior loss. The paper develops a statistical model describing the behaviour of judges, and discusses Markov Chain Monte Carlo estimation. We also discuss criteria for choosing the appropriate loss functions. We apply our methods to a well-known problem: determining the correct ranking for figure skaters competing at the Olympic Games.
Appears in Collections:Cahiers de recherche du CIRPÉE

Files in This Item:

CIRPEE06-24.pdf, (Adobe PDF ; 332.64 kB)

Items in the Repository are protected by copyright, with all rights reserved, unless otherwise indicated.


About Érudit | Subscriptions | RSS | Terms of Use | Contact us |

Consortium Érudit ©  2016