May 2026
BayesMallowsSMC2: Nested Sequential Monte Carlo for the Bayesian Mallows Model
This R package provides nested sequential Monte Carlo algorithms for performing sequential inference in the Bayesian Mallows model.
Dec 2024
Sequential Rank and Preference Learning with the Bayesian Mallows Model
This paper considers rank and preference modeling for the case in which data arrive sequentially, rather than in a batch. The goal is to compute the posterior distribution incrementally in time, so that it can be quickly updated when new data arrives. To this end, we develop a sequential Monte Carlo algorithm for the Bayesian Mallows model. Published in Bayesian Analysis.
Apr 2018
Probabilistic preference learning with the Mallows rank model
This paper consider probabilistic preference learning with Mallows' rank model.