On large deviation probabilities for self-normalized sums of random variables

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1. Verfasser: Borovkov, Konstantin
Format: Preprint
Veröffentlicht: 2025
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author Borovkov, Konstantin
author_facet Borovkov, Konstantin
contents We reduced the large deviation problem for a self-normalized random walk to one for an auxiliary usual bivariate random walk. This enabled us to prove the classical theorem for self-normalized walks by Q.-M. Shao (1997) under slightly more general conditions and, moreover, to provide a graphical interpretation for the emerging limit in terms of the rate function for the bivariate problem. Furthermore, using this approach, we obtained exact (rather than just logarithmic) large deviation asymptotics for the probabilities of interest. Extensions to more general self-normalizing setups including the multivariate case were discussed.
format Preprint
id arxiv_https___arxiv_org_abs_2501_12480
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle On large deviation probabilities for self-normalized sums of random variables
Borovkov, Konstantin
Probability
60F10, 60G50
We reduced the large deviation problem for a self-normalized random walk to one for an auxiliary usual bivariate random walk. This enabled us to prove the classical theorem for self-normalized walks by Q.-M. Shao (1997) under slightly more general conditions and, moreover, to provide a graphical interpretation for the emerging limit in terms of the rate function for the bivariate problem. Furthermore, using this approach, we obtained exact (rather than just logarithmic) large deviation asymptotics for the probabilities of interest. Extensions to more general self-normalizing setups including the multivariate case were discussed.
title On large deviation probabilities for self-normalized sums of random variables
topic Probability
60F10, 60G50
url https://arxiv.org/abs/2501.12480