arXiv stat.ML
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Convergence analysis of a family of Zermelo-type iterations for the Bradley–Terry model
arXiv:2607.22221v1 Announce Type: new Abstract: 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 accelerate computation, Newman introduced a family of Zermelo-type fixed-point iterations parameteriz