3 papers
stat.ML2026
Convergence analysis of a family of Zermelo-type iterations for the Bradley--Terry model
Ruijian Han, Ding Lu, Yiming Xu
Zermelo's algorithm is a classical method for computing the maximum likelihood estimator in the Bradley--Terry (BT) model, but its convergence can be slow in practice. To accelerat…
stat.ME2026
Deep Ranking with Heterogeneous Effects
Yuanhang Luo, Shuxing Fang, Ruijian Han +1
Classical latent-score ranking models often fail to distinguish objects' intrinsic scores from contextual effects, which are typically nonlinear and can dominate the observed outco…
stat.ME2026
Recent advances in the Bradley--Terry Model: theory, algorithms, and applications
Shuxing Fang, Ruijian Han, Yuanhang Luo +1
This article surveys recent progress in the Bradley-Terry (BT) model and its extensions. We focus on the statistical and computational aspects, with emphasis on the regime in which…