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Teoriya Veroyatnostei i ee Primeneniya, 2022, Volume 67, Issue 3, Pages 607–617
DOI: https://doi.org/10.4213/tvp5316
(Mi tvp5316)
 

Short Communications

Exact lower and upper bounds for Gaussian measures

I. Pinelis

Department of Mathematical Sciences, Michigan Technological University, Houghton, MI, USA
References:
Abstract: Exact upper and lower bounds on the ratio $\operatorname{\mathbf{E}}w(\mathbf{X}-\mathbf{v})/\operatorname{\mathbf{E}}w(\mathbf{X})$ for a centered Gaussian random vector $\mathbf{X}$ in $\mathbf{R}^n$ are obtained, as well as bounds on the rate of change of $\operatorname{\mathbf{E}}w(\mathbf{X}-t\mathbf{v})$ in $t$, where $w\colon\mathbf{R}^n\to[0,\infty)$ is any even unimodal function and $\mathbf{v}$ is any vector in $\mathbf{R}^n$. 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.
Keywords: Gaussian measures, multivariate normal distribution, shifts, unimodality, logconcavity, monotonicity, exact bounds, tests for the mean.
Received: 18.04.2019
Published: 22.07.2022
English version:
Theory of Probability and its Applications, 2022, Volume 67, Issue 3, Pages 485–493
DOI: https://doi.org/10.1137/S0040585X97T991088
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: I. Pinelis, “Exact lower and upper bounds for Gaussian measures”, Teor. Veroyatnost. i Primenen., 67:3 (2022), 607–617; Theory Probab. Appl., 67:3 (2022), 485–493
Citation in format AMSBIB
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\by I.~Pinelis
\paper Exact lower and upper bounds for Gaussian measures
\jour Teor. Veroyatnost. i Primenen.
\yr 2022
\vol 67
\issue 3
\pages 607--617
\mathnet{http://mi.mathnet.ru/tvp5316}
\crossref{https://doi.org/10.4213/tvp5316}
\mathscinet{https://mathscinet.ams.org/mathscinet-getitem?mr=4506227}
\transl
\jour Theory Probab. Appl.
\yr 2022
\vol 67
\issue 3
\pages 485--493
\crossref{https://doi.org/10.1137/S0040585X97T991088}
\scopus{https://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85152058624}
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  • https://www.mathnet.ru/eng/tvp5316
  • https://doi.org/10.4213/tvp5316
  • https://www.mathnet.ru/eng/tvp/v67/i3/p607
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    Теория вероятностей и ее применения Theory of Probability and its Applications
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