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stat.ME2022★ 1 cited
Anytime Valid Tests of Conditional Independence Under Model-X
Peter Grünwald, Alexander Henzi, Tyron Lardy
We propose a sequential, anytime-valid method to test the conditional independence of a response and a predictor given a random vector . The proposed test is based on e-…
math.ST2022★ 1 cited
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…