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- W4225729085 abstract "The aim of this work is to study the problem of prior elicitation for the consensus ranking in the Mallows model with Spearman’s distance, a popular distance-based model for rankings or permutation data. Previous Bayesian inference for such a model has been limited to the use of the uniform prior over the space of permutations. We present a novel strategy to elicit informative prior beliefs on the location parameter of the model, discussing the interpretation of hyper-parameters and the implication of prior choices for the posterior analysis." @default.
- W4225729085 created "2022-05-05" @default.
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- W4225729085 date "2023-06-01" @default.
- W4225729085 modified "2023-09-26" @default.
- W4225729085 title "Informative Priors for the Consensus Ranking in the Bayesian Mallows Model" @default.
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- W4225729085 doi "https://doi.org/10.1214/22-ba1307" @default.
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