46 citations · 64 across the 7 of their papers we have counts for
4 papers · 1 filter
Statistical reduction before the target is known: two boundary results
Rianne de Heide
Suppose that the eventual use of data is not known when the data are reduced or collected. This note considers two simple boundary cases. In a finite statistical experiment, a stat…
Dynamic -closure for online hypotheses with any-time-valid evidence: closure principles and projective mergers
Rianne de Heide
Many modern testing problems are sequential along two axes: new hypotheses may arrive over time, while evidence for hypotheses already under consideration continues to evolve and m…
E-Statistics, Group Invariance and Anytime Valid Testing
Muriel Felipe Pérez-Ortiz, Tyron Lardy, Rianne de Heide +1
We study worst-case-growth-rate-optimal (GROW) e-statistics for hypothesis testing between two group models. It is known that under a mild condition on the action of the underlying…
Safe Testing
Peter Grünwald, Rianne de Heide, Wouter Koolen
We develop the theory of hypothesis testing based on the e-value, a notion of evidence that, unlike the p-value, allows for effortlessly combining results from several studies in t…