18 citations · 18 across the 12 of their papers we have counts for
5 papers · 1 filter
Gaffke's confidence interval for the mean of bounded data is inadmissible but asymptotically efficient
Jiahao Ming, Aaditya Ramdas, Yi Shen +2
Given observations , Gaffke (2005) defined \[ K_n(\mathbf x)=\mathbb{P}_{\mathbf D}\!\left\{\sum_{i=1}^n x_iD_i\le 1\right\}, \qquad (D_0,D_1,\ldots,D_n)…
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…
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…