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Open access 2026

A Bayesian Replay Framework for Latent Fan Vote Estimation and Voting Rule Bias Analysis

A Bayesian replay framework for latent fan-vote estimation and voting-rule bias analysis is developed and indicates that the estimated latent fan signal is predictive and calibrated, with overall Hit@3 close to 0.69 and expected calibration error near 0.0047.

Yu Pei, Yi-Tong Ling, Xin-Yu Li · 0 citations

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