2 citations · 6 across the 8 of their papers we have counts for
8 papers
On admissibility in post-hoc hypothesis testing
Ben Chugg, Tyron Lardy, Aaditya Ramdas +1
The validity of classical hypothesis testing requires the significance level be fixed before any statistical analysis takes place. This is a stringent requirement. For instance…
A Generalisation of Ville's Inequality to Monotonic Lower Bounds and Thresholds
Wouter M. Koolen, Muriel Felipe Pérez-Ortiz, Tyron Lardy
Essentially all anytime-valid methods hinge on Ville's inequality to gain validity across time without incurring a union bound. Ville's inequality is a proper generalisation of Mar…
Optimal E-Values for Exponential Families: the Simple Case
Peter Grünwald, Tyron Lardy, Yunda Hao +2
We provide a general condition under which e-variables in the form of a simple-vs.-simple likelihood ratio exist when the null hypothesis is a composite, multivariate exponential f…
Anytime-Valid Tests of Group Invariance through Conformal Prediction
Tyron Lardy, Muriel Felipe Pérez-Ortiz
We develop anytime-valid tests of invariance under the action of compact groups. The resulting test statistics are optimal in a logarithmic-growth sense. We apply our method to ext…
Reverse Information Projections and Optimal E-statistics
Tyron Lardy, Peter Grünwald, Peter Harremoës
Information projections have found important applications in probability theory, statistics, and related areas. In the field of hypothesis testing in particular, the reverse inform…
E-values for k-Sample Tests With Exponential Families
Yunda Hao, Peter Grünwald, Tyron Lardy +2
We develop and compare e-variables for testing whether samples of data are drawn from the same distribution, the alternative being that they come from different elements of an…
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-…
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…