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20242026
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math.ST2026

Universality of e-detectors for ARL control

Aaditya Ramdas

An e-detector for a pre-change class is a nonnegative process such that for all stopping times and all $P \in \mathcal P…

math.ST2026

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)…

math.ST2026

Testing by Betting while Borrowing and Bargaining

Hongjian Wang, Wouter M. Koolen, Aaditya Ramdas

Testing by betting has been a cornerstone of the game-theoretic statistics literature. One bets against the null hypothesis, and the accumulated wealth quantifies the evidenc…

math.ST2026

E-values and sequential power-one tests for monotonicity and unimodality

Hongjian Wang, Aaditya Ramdas

We develop e-values and e-processes testing the null hypothesis that a distribution over nonnegative integers is monotone, and that a distribution over integers is unimodal given a…

math.ST2026

Strong duality for the GROW criterion

Ashwin Ram, Martin Larsson, Johannes Ruf +1

This paper presents general strong duality results when testing hypotheses by betting against them. A bet is an e-variable for a composite null hypothesis $\Pcal$: a nonnegative ra…

math.ST2026

Bentkus-type asymptotic e-values

Diego Martinez-Taboada, Ben Chugg, Aaditya Ramdas

Asymptotic e-values are emerging as a powerful alternative to asymptotic p-values, particularly in post-hoc inference and multiple testing, where significance levels may be data-de…