A remark on moment-dependent phase transitions in high-dimensional Gaussian approximations

Fuente: arXiv
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Autori principali: Kock, Anders Bredahl, Preinerstorfer, David
Natura: Preprint
Pubblicazione: 2023
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author Kock, Anders Bredahl
Preinerstorfer, David
author_facet Kock, Anders Bredahl
Preinerstorfer, David
contents In this article, we study the critical growth rates of dimension below which Gaussian critical values can be used for hypothesis testing but beyond which they cannot. We are particularly interested in how these growth rates depend on the number of moments that the observations possess.
format Preprint
id arxiv_https___arxiv_org_abs_2310_12863
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle A remark on moment-dependent phase transitions in high-dimensional Gaussian approximations
Kock, Anders Bredahl
Preinerstorfer, David
Statistics Theory
Econometrics
Probability
In this article, we study the critical growth rates of dimension below which Gaussian critical values can be used for hypothesis testing but beyond which they cannot. We are particularly interested in how these growth rates depend on the number of moments that the observations possess.
title A remark on moment-dependent phase transitions in high-dimensional Gaussian approximations
topic Statistics Theory
Econometrics
Probability
url https://arxiv.org/abs/2310.12863