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, clarifying the conceptual distinctions and connections between Bayesian and frequentist methods.

Findings

Bayesian posteriors can be interpreted as confidence measures under certain conditions

Differences between Bayesian and frequentist approaches are context-dependent

The discussion highlights the importance of understanding the philosophical foundations of statistical methods

Abstract

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