Comment on "Bayesian Analysis of Pentaquark Signals from CLAS Data", with Response to the Reply by Ireland and Protopopsecu

TL;DR

This paper critiques the use of arbitrary priors in Bayesian analysis of pentaquark signals from CLAS data, responding to a reply and emphasizing the importance of prior selection in Bayesian model comparison.

Contribution

It provides a detailed discussion on the impact of prior choices in Bayesian model selection for particle physics data analysis.

Findings

Highlighting the problems caused by arbitrary priors

Emphasizing the importance of prior selection in Bayesian analysis

Critiquing the robustness of Bayesian conclusions in this context

Abstract

The CLAS Collaboration has published an analysis using Bayesian model selection. My Comment criticizing their use of arbitrary prior probability density functions, and a Reply by D.G. Ireland and D. Protopopsecu, have now been published as well. This paper responds to the Reply and discusses the issues in more detail, with particular emphasis on the problems of priors in Bayesian model selection.