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Main Author: Abadi, Miguel
Format: Preprint
Published: 2025
Subjects:
Online Access:https://arxiv.org/abs/2512.10085
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author Abadi, Miguel
author_facet Abadi, Miguel
contents Large deviation inequalities for ergodic sums is an important subject since the seminal contribution of Bernstein for independent random variables with finite variances, followed by the Chernoff method and the Hoefding result for independent bounded variables. Very few results appears in the literature for the non independent case. Here we consider the, barely treated in the literature, case of positively correlated Bernoulli variables. This case represents the appearance in clusters of a certain fixed phenomena in the overlying stochastic process. Under a very mild condition we prove several upper deviation inequalities. The results follow by a spectral decomposition of an appropriated recursive operator. We illustrate with examples.
format Preprint
id arxiv_https___arxiv_org_abs_2512_10085
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Large Deviation inequalities for sums of positive correlated variables with clustering
Abadi, Miguel
Probability
Large deviation inequalities for ergodic sums is an important subject since the seminal contribution of Bernstein for independent random variables with finite variances, followed by the Chernoff method and the Hoefding result for independent bounded variables. Very few results appears in the literature for the non independent case. Here we consider the, barely treated in the literature, case of positively correlated Bernoulli variables. This case represents the appearance in clusters of a certain fixed phenomena in the overlying stochastic process. Under a very mild condition we prove several upper deviation inequalities. The results follow by a spectral decomposition of an appropriated recursive operator. We illustrate with examples.
title Large Deviation inequalities for sums of positive correlated variables with clustering
topic Probability
url https://arxiv.org/abs/2512.10085