Bayes of thrones

[This article was first published on Gianluca Baio's blog, 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.

My friend and colleague Andreas sent me a link to a working paper published by a statistician at the University of Christchurch (New Zealand) and discussed here. The main idea of the paper was to use a Bayesian model to predict the number of future chapters will each of the main characters of Game of Thrones feature in.

I’m not a great fan of Game of Thrones, but I know many people who are (including in my own household). So I can’t really comment on the results. However, on a very cursory look at the paper, it seems as though the model is based on vague priors for all the parameters, which is kind of a bummer, as I would have thought this is the kind of model for which you do have some strong subjective (or “expert”) prior to use… Still, nice idea, I think…

To leave a comment for the author, please follow the link and comment on their blog: Gianluca Baio's blog.

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)