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arXiv:2205.09266 [math.PR]AbstractReferencesReviewsResources

Exact lower and upper bounds for shifts of Gaussian measures

Iosif Pinelis

Published 2022-05-19Version 1

Exact upper and lower bounds on the ratio $\mathsf{E}w(\mathbf{X}-\mathbf{v})/\mathsf{E}w(\mathbf{X})$ for a centered Gaussian random vector $\mathbf{X}$ in $\mathbb{R}^n$, as well as bounds on the rate of change of $\mathsf{E}w(\mathbf{X}-t\mathbf{v})$ in $t$, where $w\colon\mathbb{R}^n\to[0,\infty)$ is any even unimodal function and $\mathbf{v}$ is any vector in $\mathbb{R}^n$. As a corollary of such results, exact upper and lower bounds on the power function of statistical tests for the mean of a multivariate normal distribution are given.

Comments: 10 pages; to appear in Theory of Probability and Its Applications
Categories: math.PR, math.ST, stat.TH
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