[This article was first published on Xi'an's Og » R, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.
We have now completed our revision of the paper Relevant statistics for Bayesian model choice, written with Judith Rousseau, Jean-Michel Marin, and Natesh Pillai. It has been resubmitted to Series B and reposted on arXiv. The major change in the paper is the inclusion of a check about the relevance of a given summary statistics, as already explained in the talks I presented in Bristol and Glasgow. We also ran a realistic (and, I think, illuminating!) experiment to assess the impact of using one or two (δμ)² statistics as summaries in a simple population experiment, along with a theoretical explanation of the difference between both cases. This methodological addition answers in my opinion the major criticism contained in the review and I thus hope we can envision the eventual publication of this paper… In any case, the reviews have been tremendously helpful in improving the paper.
