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Uncertainty-Aware Ideal Point Estimation via Variational EM with Pólya-Gamma identity
Roll-call data analysis aims to estimate legislators' ideal points and quantify the associated uncertainty. Existing approaches either rely on Bayesian methods implemented via Markov chain Monte Carlo sampling or focus primarily on point estimation, with uncertainty typically assessed through resamp
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