Safety and Luckiness

Peter’s research currently focuses on Safety and Luckiness. The basic idea is to make sure that inference from data is done in – indeed – a safer way. The replicability crisis in the applied sciences provides ample evidence that we often jump to conclusions which simply aren’t justified. The goal is to improve this situation!  The resulting procedures point towards a unified view of statistical inference, in which specific Bayesian, frequentist and even ‘fiducial’ methods arise as special cases; “prior distributions” become just one aspect of luckiness. Subtopics include: