Statistical inference for pairwise comparison models

arXiv:2401.08463v2 Announce Type: replace-cross
Abstract: Pairwise comparison models have been widely used for utility evaluation and ranking across various fields. The increasing scale of problems today underscores the need to understand statistical inference in these models when the number of subjects diverges, a topic currently lacking in the literature except in a few special instances. To partially address this gap, this paper establishes a near-optimal asymptotic normality result for the maximum likelihood estimator in a broad class of pairwise comparison …

abstract arxiv comparison evaluation fields inference literature math.st ranking scale statistical stat.ml stat.th type utility