18 citations · 31 across the 5 of their papers we have counts for
6 papers
Efficient and accurate inference for mixtures of Mallows models with Spearman distance
Marta Crispino, Cristina Mollica, Valerio Astuti +1
The Mallows model occupies a central role in parametric modelling of ranking data to learn preferences of a population of judges. Despite the wide range of metrics for rankings tha…
BayesMallows: An R Package for the Bayesian Mallows Model
Øystein Sørensen, Marta Crispino, Qinghua Liu +1
BayesMallows is an R package for analyzing data in the form of rankings or preferences with the Mallows rank model, and its finite mixture extension, in a Bayesian probabilistic fr…
Dependence properties and Bayesian inference for asymmetric multivariate copulas
Julyan Arbel, Marta Crispino, Stéphane Girard
We study a broad class of asymmetric copulas introduced by Liebscher (2008) as a combination of multiple - usually symmetric - copulas. The main thrust of the paper is to provide n…
Informative extended Mallows priors in the Bayesian Mallows model
Marta Crispino, Isadora Antoniano-Villalobos
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. P…
A Bayesian Mallows approach to non-transitive pair comparison data: how human are sounds?
Marta Crispino, Elja Arjas, Valeria Vitelli +2
We are interested in learning how listeners perceive sounds as having human origins. An experiment was performed with a series of electronically synthesized sounds, and listeners w…
Probabilistic preference learning with the Mallows rank model
Valeria Vitelli, Øystein Sørensen, Marta Crispino +2
Ranking and comparing items is crucial for collecting information about preferences in many areas, from marketing to politics. The Mallows rank model is among the most successful a…