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From the 1 of 112 linked papers with an AI index.

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20242026
most citedTime-uniform Chernoff bounds via nonnegative supermartingales

7 citations · 8 across the 61 of their papers we have counts for

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Showing 2026Show all

54 papers · 1 filter

stat.ME2026

Gaussian-efficient testing by betting on the mean of bounded data

Diego Martinez-Taboada, Aaditya Ramdas

Given -valued random variables such that for all , we propose a new nonasymptotic confidence interval for tha…

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…

stat.ME2026

Non-partitioned e-detectors for nonparametric sequential change detection

Aytijhya Saha, Aaditya Ramdas

The paper proposes non‑partitioned e‑detectors for sequential change detection when both pre‑ and post‑change distributions are unknown, using aggregated e‑processes and showing as…

stat.ME2026

Monte Carlo testing: non-asymptotic guarantees without joint exchangeability

Rina Foygel Barber, Aaditya Ramdas

In hypothesis testing, Monte Carlo tests are usually justified either by exact null simulation or by joint exchangeability of the observed data and its simulated copies. This leave…

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…