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Uncertainty Quantification of MLE for Entity Ranking with Covariates
March 26, 2024, 4:44 a.m. | Jianqing Fan, Jikai Hou, Mengxin Yu
cs.LG updates on arXiv.org arxiv.org
Abstract: This paper concerns with statistical estimation and inference for the ranking problems based on pairwise comparisons with additional covariate information such as the attributes of the compared items. Despite extensive studies, few prior literatures investigate this problem under the more realistic setting where covariate information exists. To tackle this issue, we propose a novel model, Covariate-Assisted Ranking Estimation (CARE) model, that extends the well-known Bradley-Terry-Luce (BTL) model, by incorporating the covariate information. Specifically, instead of …
abstract arxiv concerns cs.lg inference information math.st mle paper prior quantification ranking statistical stat.me stat.ml stat.th studies type uncertainty
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