Year: 2021

Statistics is about learning from data in the context of uncertainty. Often we communicate uncertainty in the form of probabilities. How should we best communicate such probabilities in our figures? The key point in this post is that we should not only present probabilities in the form of probabilities and the like. Instead, we need […]

I have been reading a few papers on how to structure data and code. In the post, I provide a list of the papers I have found together with the main advice/rules offered in the respective papers (do consult the individual papers for examples and explanations). Noteworthy, there is an overlap in the advice the […]

942. Introduction to Deep Learning — 170 Video Lectures from Adaptive Linear Neurons to Zero-shot Classification with Transformers 943. The Identification Zoo: Meanings of Identification in Econometrics 944. Why you sometimes need to break the rules in data viz 945. A Concrete Introduction to Probability (using Python) 946. R packages that make ggplot2 more beautiful […]

121. A Supercut of Supercuts: Aesthetics, Histories, Databases 122. UbuWeb: Film & Video 123. The Behavioral Economics Guide 2021 124. Climate Solutions 101 125. On Noise (the book) 126. PSY 1 | Introduction to Psychological Science | Lectures 127. Why Are Gamers So Much Better Than Scientists at Catching Fraud? 128. A Visual Guide to […]

In the new issue of Party Politics, you will find an article I have written together with Paul Whiteley, Matthew Goodwin and Harold Clarke. The article deals with the predictors of party activism within the populist radical right. Here is the abstract: Recent decades have seen an upsurge of interest in populist radical right (PRR) […]