3 papers
stat.ML2026
LiD-GLM: Lipschitz-constrained Deep Generalized Linear Models
Tom Splittgerber, Niklas Koenen, Marvin N. Wright +1
The combination of traditional statistical models and neural network (NN) components into semi-structured hybrid models is an intriguing approach to construct models that, ideally,…
stat.ME2026
Anytime-valid testing with e-values and confirmatory adaptive designs
Werner Brannath, Lasse Fischer
Confirmatory adaptive designs were introduced more than 30 years ago and enable for example sample size re-assessments and the selection of treatments, endpoints as well as subpopu…
stat.ME2024
Asymptotic Online FWER Control for Dependent Test Statistics
Vincent Jankovic, Lasse Fischer, Werner Brannath
In online multiple testing, an a priori unknown number of hypotheses are tested sequentially, i.e. at each time point a test decision for the current hypothesis has to be made usin…