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20212026
most citedCatoni-style confidence sequences for heavy-tailed mean estimation

20 citations · 42 across the 13 of their papers we have counts for

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6 papers · 1 filter

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.ST2024

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.ST2023★ 1 cited

Time-Uniform Confidence Spheres for Means of Random Vectors

Ben Chugg, Hongjian Wang, Aaditya Ramdas

We study sequential mean estimation in . In particular, we derive time-uniform confidence spheres -- confidence sphere sequences (CSSs) -- which contain the mean of r…

math.ST2023★ 2 cited

Anytime-valid t-tests and confidence sequences for Gaussian means with unknown variance

Hongjian Wang, Aaditya Ramdas

In 1976, Lai constructed a nontrivial confidence sequence for the mean of a Gaussian distribution with unknown variance . Curiously, he employed both an improper (right Ha…

math.ST2023★ 1 cited

Huber-Robust Confidence Sequences

Hongjian Wang, Aaditya Ramdas

Confidence sequences are confidence intervals that can be sequentially tracked, and are valid at arbitrary data-dependent stopping times. This paper presents confidence sequences f…

math.ST2022★ 20 cited

Catoni-style confidence sequences for heavy-tailed mean estimation

Hongjian Wang, Aaditya Ramdas

A confidence sequence (CS) is a sequence of confidence intervals that is valid at arbitrary data-dependent stopping times. These are useful in applications like A/B testing, multi-…