Well-Calibrated Bayesian Methods in Statistical Inference (1982)

The paper explores methods for ensuring Bayesian statistical models are well-calibrated, addressing the alignment between predictive probabilities and empirical frequencies. It contributes to foundational discussions on probabilistic reasoning and statistical inference.

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