A constrained hierarchical Bayesian framework for latent variable inference and dual-response evaluation divergence analysis
Multi-evaluator decision-making systems encounter difficulties in inferring latent variables and quantifying evaluation discrepancies under realistic scenario constraints. Most existing methods either ignore critical hard constraints such as competition elimination rules or fail to account for inference uncertainty, le...