Discussion of "Is Bayes Posterior just Quick and Dirty Confidence?" by D. A. S. Fraser

TL;DR

This paper discusses the relationship between Bayesian posterior probabilities and frequentist confidence intervals, analyzing their similarities, differences, and implications for statistical inference.

Contribution

It provides a critical examination of Fraser's arguments on the equivalence and differences between Bayesian and frequentist methods.

Findings

Bayesian posteriors can approximate confidence intervals under certain conditions

Differences between Bayesian and frequentist approaches are context-dependent

The discussion clarifies misconceptions about the interpretability of Bayesian probabilities

Abstract

Discussion of "Is Bayes Posterior just Quick and Dirty Confidence?" by D. A. S. Fraser [arXiv:1112.5582].