A pandemic poses particular challenges to decision-making because of the need to continuously adapt decisions to rapidly changing evidence and available data. For example, which countermeasures are appropriate at a particular stage of the pandemic? How can the severity of the pandemic be...

Rank-based inference methods are applied in various disciplines, typically when procedures relying on standard normal theory are not justifiable. Various specific rank-based methods have been developed for two and more samples and also for general factorial designs (e.g. Kruskal–Wallis test or...

Hyperparameter tuning is one of the most time-consuming parts in machine learning. Despite the existence of modern optimization algorithms that minimize the number of evaluations needed, evaluations of a single setting may still be expensive. Usually a resampling technique is used, where the...

In der Stromversorgung vollzieht sich seit etwa zwanzig Jahren ein grundlegender Wandel von konventioneller Stromerzeugung durch hauptsächlich Kohle- und Atomkraftwerke hin zu erneuerbaren Stromerzeugung durch hauptsächlich Windkraft- und Solaranlagen. Die Hauptunterschiede zwischen diesen...

Preparing people for dealing with hazards, diseases and disasters requires teaching them statistics, and ideally doing so by means of good representation formats in a dynamic fashion. Translating these dynamics to simple communication is what governments need from scientists.