Bayes of thrones

October 5, 2014

(This article was first published on Gianluca Baio's blog, and kindly contributed to R-bloggers)

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. offers daily e-mail updates about R news and tutorials on topics such as: Data science, Big Data, R jobs, visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics (regression, PCA, time series, trading) and more...

If you got this far, why not subscribe for updates from the site? Choose your flavor: e-mail, twitter, RSS, or facebook...

Comments are closed.


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)