Discussion of "Objective Priors: An Introduction for Frequentists" by M. Ghosh
Jos\'e M. Bernardo

TL;DR
This paper discusses the concepts and implications of objective priors in Bayesian statistics, aiming to clarify their use and advantages for frequentist statisticians.
Contribution
It provides a critical discussion and clarification of objective priors, highlighting their relevance and application in frequentist statistical inference.
Findings
Objective priors can improve Bayesian-frequentist compatibility
Clarifies misconceptions about objective priors
Highlights practical applications in statistical analysis
Abstract
Discussion of "Objective Priors: An Introduction for Frequentists" by M. Ghosh [arXiv:1108.2120]
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
