@article{aa4c2d360976411492b2f2bf37f7ea71,
title = "A BAYESIAN MALLOWS APPROACH TO NONTRANSITIVE PAIR COMPARISON DATA: HOW HUMAN ARE SOUNDS?",
keywords = "Nontransitive pairwise comparisons, ranking, Mallows model, Bayesian preference learning, recommender systems, musicology, acousmatic experiment, RANKING, MODEL, TIES, 111 Mathematics",
author = "Marta Crispino and Elja Arjas and Valeria Vitelli and Natasha Barrett and Arnoldo Frigessi",
year = "2019",
month = mar,
doi = "10.1214/18-AOAS1203",
language = "English",
volume = "13",
pages = "492--519",
journal = "Annals of Applied Statistics",
issn = "1932-6157",
publisher = "Institute of mathematical statistics",
number = "1",
}