Constrained Bayesian Reconstruction of Latent Public Preferences Under Dynamic Elimination Rules: An Uncertainty-Aware Expert–Public Fusion Framework
Expert–public selection systems often reveal expert scores, institutional rules, and discrete elimination outcomes while concealing public-vote information. This paper develops a constrained Bayesian inverse-inference framework for inferring rule-compatible latent public-preference distributions. Public preferences are...