A discussion of "Bayesian model selection based on proper scoring rules" by A.P. Dawid and M. Musio
Clara Grazian, Ilaria Masiani, and Christian P. Robert

TL;DR
This paper discusses the use of proper scoring rules in Bayesian model selection, highlighting potential practical challenges despite its conceptual appeal.
Contribution
It provides a critical discussion of Dawid and Musio's approach, emphasizing possible difficulties in practical implementation.
Findings
Highlights practical difficulties with proper scoring rules in Bayesian model selection
Acknowledges the conceptual value of proper scoring rules including improper priors
Encourages further investigation into practical applications
Abstract
This note is a discussion of the article "Bayesian model selection based on proper scoring rules" by A.P. Dawid and M. Musio, to appear in Bayesian Analysis. While appreciating the concepts behind the use of proper scoring rules, including the inclusion of improper priors, we point out here some possible practical difficulties with the advocated approach.
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Taxonomy
TopicsBayesian Modeling and Causal Inference · Statistical Methods and Bayesian Inference · Advanced Statistical Methods and Models
