# Informative extended Mallows priors in the Bayesian Mallows model

@inproceedings{Crispino2019InformativeEM, title={Informative extended Mallows priors in the Bayesian Mallows model}, author={Marta Crispino and Isadora Antoniano‐Villalobos}, year={2019} }

The aim of this work is to study the problem of prior elicitation for the Mallows model with Spearman’s distance, a popular distance-based model for rankings or permutation data. Previous Bayesian inference for such model has been limited to the use of the uniform prior over the space of permutations. We present a novel strategy to elicit subjective prior beliefs on the location parameter of the model, discussing the interpretation of hyper-parameters and the implication of prior choices for…

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