CoRe in CiRM [6]

[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.

This is the last day at CiRM for our “research in pair” working on the new edition of Bayesian Core. I mostly completed the revision of the chapter on Bayesian imaging, including stuff on Markov random fields and mainly on ABC algorithms. All that remains to be done about this chapter is the processing of the Scottish lip cancer dataset from an MRF perspective. I included the comparison below of the ABC approximation (variability) with the truth in the case of the normal mean test.  Jean-Michel has almost finished the chapter on hierarchical modelling, before I get a go at the style of the chapter. Thus ends a very productive ten-days where we dealt with five chapters out of nine, the remaining four being less prone to deep modification in this new edition…

Filed under: Books, pictures, R, Statistics Tagged: ABC, Bayesian Core, CIRM, Luminy, Markov random field, Marseille, second edition

To leave a comment for the author, please follow the link and comment on their blog: Xi'an's Og » R.

R-bloggers.com offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)