Photo source: cropped from original by Taylor van Riper https://unsplash.com/@taylorvanriper925 Graphics source: Michael Betancourt at stan-dev/propaganda Time to explore what the public cloud is all about. Our goal is to write code (i.e. scripts) using open-source tools to automatically set up cloud infrastructure. In short, ...

(Photo by Erik Cats) Yet another Blood Bowl post! If you don’t know about Blood Bowl and/or FUMBBL, See my previous blog posts on Blood Bowl for more background and stats. This one is to introduce the Super League, where top (and not so top) coaches compete with ...

(Photo by Erik Cats) Yet another Blood Bowl post! This one is to warm up to the upcoming World Cup, analyzing variation in Roster choices by top coaches. For the uninitiated: In my spare time I like to play Blood Bowl, a chess-like board game where ...

(Photo by Erik Cats) “If you graph the numbers of any system, patterns emerge” is one of my favorite movie quotes (from Darren Aronofsky’s cult movie about mathematics \(\pi\) (“pi”)). In this post we’ll graph the numbers from the Blood Bowl Fantasy...

(Photo by Steven Kamenar on Unsplash) The Random Forest algorithm is often said to perform well “out-of-the-box”, with no tuning or feature selection needed, even with so-called high-dimensional data, where we have a high number of features (predict...

(Image is from a different antigen test) Many people are suspicious about the reliability of rapid self-tests, so I decided to check it out. For starters, I LOVE measurement. It is where learning from data starts, with technology and statistics inv...

Gertjan Verhoeven & Misja Mikkers Here we show how to use Stan with the brms R-package to calculate the posterior predictive distribution of a covariate-adjusted average treatment effect. We fit a model on simulated data that mimics a (very c...