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academic

Jekyll theme with a focus on simplicity, typography and flexibility

apis_for_social_scientists_a_review

Online book APIs for social scientists: A collaborative review

c7-subproject-ger-ned

The bill that never was. A natural language processing pipeline for constructing counterfactual laws under opposition preferences in the Bundestag.

data

Data and code behind the articles and graphics at FiveThirtyEight

first-bayesian-inference

This Shiny App is designed to ease its users first contact with Bayesian statistical inference. By "pointing and clicking", the user can analyze the IQ-example as has been used in the easy-to-go introduction to Bayesian inference of van de Schoot et al. (2013).

fraud_spillover

gibbs

Programming a Gibbs sampler. Measures for convergence and autocorrelation are constructed. Anyone interested in what's happening behind the scenes of Bayesian statistics might find this interesting.

linreg

Tutorial on how to program an OLS regression using matrix algebra

lion-be

lionbehrens.github.io

A beautiful, simple, clean, and responsive Jekyll theme for academics

ml_detect

Statistical detection of election fraud from fine-graded election results using supervised machine learning.

mooc-intro-r

Material for the Massive Open Online Course Introduction to R that I develop for the University of Mannheim.

undervoting_irregularities

Statistical detection of election fraud from fine-graded election results using unsupervised machine learning.

visualize-the-power-of-a-t-test

R function visualizing the power of an independent samples t-test based on simulations