7 citations · 10 across the 7 of their papers we have counts for
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math.PR2023
Anti-concentration of Suprema of Gaussian Processes and Gaussian Order Statistics
Alexander Giessing
We derive, up to a constant factor, matching lower and upper bounds on the concentration functions of suprema of separable centered Gaussian processes and order statistics of Gauss…
math.ST2023
Gaussian and Bootstrap Approximations for Suprema of Empirical Processes
Alexander Giessing
In this paper we develop non-asymptotic Gaussian approximation results for the sampling distribution of suprema of empirical processes when the indexing function class $\mathcal{F}…
math.ST2023★ 1 cited
A Bootstrap Hypothesis Test for High-Dimensional Mean Vectors
Alexander Giessing, Jianqing Fan
This paper is concerned with testing global null hypotheses about population mean vectors of high-dimensional data. Current tests require either strong mixing (independence) condit…