Preprint
Sep 2026
Robust Bayesian Inference for Unnormalized Models with Mixed-Domain Data
Results show that SME-BETEL credible sets are asymptotically calibrated to the sampling variability of the score matching estimator, yielding valid frequentist coverage under model misspecification and prove a Bernstein-von Mises theorem for the SME-BETEL posterior.
Jiong-Ran Wang, D. Pati, A. Bhattacharya
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