A Bayesian Mallows approach to nontransitive pair comparison data: how human are sounds?

DOI10.1214/18-AOAS1203zbMath1418.62402arXiv1705.08805OpenAlexW2963728203WikidataQ110418921 ScholiaQ110418921MaRDI QIDQ2415475

Natasha Barrett, Arnoldo Frigessi, Elja Arjas, Valeria Vitelli, Marta Crispino

Publication date: 22 May 2019

Published in: The Annals of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1705.08805

zbMATH Keywords

rankingrecommender systemsMallows modelmusicologyacousmatic experimentBayesian preference learningnontransitive pairwise comparisons

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to psychology (62P15)

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