114 citations · 188 across the 8 of their papers we have counts for
Showing 2014 · math.STShow all
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math.ST2014★ 32 cited
Bayesian Model Selection Based on Proper Scoring Rules
A. Philip Dawid, Monica Musio
Bayesian model selection with improper priors is not well-defined because of the dependence of the marginal likelihood on the arbitrary scaling constants of the within-model prior…
math.ST2014★ 28 cited
Structural Markov graph laws for Bayesian model uncertainty
Simon Byrne, A. Philip Dawid
This paper considers the problem of defining distributions over graphical structures. We propose an extension of the hyper Markov properties of Dawid and Lauritzen [Ann. Statist. 2…
math.ST2014★ 114 cited
Theory and Applications of Proper Scoring Rules
A. Philip Dawid, Monica Musio
We give an overview of some uses of proper scoring rules in statistical inference, including frequentist estimation theory and Bayesian model selection with improper priors.