Peter Grünwald

Minimum description length revisited

2019 · International Journal of Mathematics for Industry

This is an up-to-date introduction to and overview of the Minimum Description Length (MDL) Principle, a theory of inductive inference that can be applied to general problems in statistics, machine learning and pattern recognition. While …

Why optional stopping can be a problem for Bayesians

2020 · Psychonomic Bulletin & Review

Recently, optional stopping has been a subject of debate in the Bayesian psychology community. Rouder (Psychonomic Bulletin & Review 21(2), 301-308, 2014) argues that optional stopping is no problem for Bayesians, and even recommends the …