1 citations · 2 across the 3 of their papers we have counts for
3 papers
stat.ME2026
Hierarchical Partial-Order Models for Ranking
Dongqing Li, Geoff K. Nicholls, Jeong Eun Lee +2
Rank aggregation combines information from ordered lists ranking items by preference. Classical parametric models for such data, including the Mallows and Plackett-Luce models, ass…
stat.ME2024★ 1 cited
Non-Parametric Bayesian Inference for Partial Orders with Ties from Rank Data observed with Mallows Noise
Chuxuan, Jiang, Geoff K. Nicholls
Partial orders may be used for modeling and summarising ranking data when the underlying order relations are less strict than a total order. They are a natural choice when the data…
stat.ME2023★ 1 cited
Bayesian Inference for Vertex-Series-Parallel Partial Orders
Chuxuan, Jiang, Geoff K. Nicholls +1
Partial orders are a natural model for the social hierarchies that may constrain "queue-like" rank-order data. However, the computational cost of counting the linear extensions of…