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stat.ME2026
Curvature-Calibrated Quasi-Bayesian Updating for Moment-Restricted Models
Masahiro Tanaka
Moment restrictions provide a flexible basis for quasi-Bayesian inference when a full likelihood is unavailable, but the weighting matrix in a quadratic moment criterion determines…
stat.ME2026
A Theory of Bootstrap Coverage Calibration for Generalized Posterior Credible Sets
Masahiro Tanaka
Generalized posteriors replace the likelihood by an exponentiated empirical criterion, but their credible sets generally lack asymptotic justification for frequentist coverage. Gen…
stat.ME2024
Weighted Particle-Based Optimization for Efficient Generalized Posterior Calibration
Masahiro Tanaka
In the realm of statistical learning, the increasing volume of accessible data and increasing model complexity necessitate robust methodologies. This paper explores two branches of…