18 citations · 23 across the 14 of their papers we have counts for
5 papers · 1 filter
Hypothesis testing with e-values
Aaditya Ramdas, Ruodu Wang
This book is written to offer a humble, but unified, treatment of e-values in hypothesis testing. It is organized into three parts: Fundamental Concepts, Core Ideas, and Advanced T…
The only admissible way of merging arbitrary e-values
Ruodu Wang
We prove that the only admissible way of merging arbitrary e-values is to use a weighted arithmetic average. This result completes the picture of merging methods for e-values, and…
Asymptotic and compound e-values: multiple testing and empirical Bayes
Nikolaos Ignatiadis, Ruodu Wang, Aaditya Ramdas
We explicitly define the notions of (bona fide, approximate or asymptotic) compound p-values and e-values, which have been implicitly presented and used in the recent multiple test…
Improved thresholds for e-values
Christopher Blier-Wong, Ruodu Wang
The rejection threshold used for e-values and e-processes is by default set to for a guaranteed type-I error control at , based on Markov's and Ville's inequalities. This…
Combining exchangeable p-values
Matteo Gasparin, Ruodu Wang, Aaditya Ramdas
The problem of combining p-values is an old and fundamental one, and the classic assumption of independence is often violated or unverifiable in many applications. There are many w…