BayesMallows on Øystein Sørensenhttps://osorensen.no/tags/bayesmallows/Recent content in BayesMallows on Øystein SørensenHugoenFri, 18 Oct 2024 00:00:00 +0000BayesMallows: An R Package for the Bayesian Mallows Modelhttps://osorensen.no/papers/paper5/Mon, 01 Jun 2020 00:00:00 +0000https://osorensen.no/papers/paper5/This paper presents the BayesMallows R package, for analysis of rank and preference data. Published in the R Journal.BayesMallows: Bayesian Preference Learning with the Mallows Rank Modelhttps://osorensen.no/software/software2/Mon, 01 Oct 2018 00:00:00 +0000https://osorensen.no/software/software2/This R package contains functions for estimating the Bayesian Mallows model in a wide range of situation, using the Metropolis-Hastings algorithm.Probabilistic preference learning with the Mallows rank modelhttps://osorensen.no/papers/paper3/Sun, 01 Apr 2018 00:00:00 +0000https://osorensen.no/papers/paper3/This paper studies the analysis of rank and preference data. We consider both complete rankings, partial rankings, and pairwise preferences. We develop a complete Bayesian framework for estimating Mallows’ rank model in all this cases, including clustering of users with similar preferences and preference prediction. Published in Journal of Machine Learning Research. Joint first authorship with Valeria Vitelli.