Correlated Binomial Process

Fuente: arXiv
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Hauptverfasser: Blanchard, Moïse, Cohen, Doron, Kontorovich, Aryeh
Format: Preprint
Veröffentlicht: 2024
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author Blanchard, Moïse
Cohen, Doron
Kontorovich, Aryeh
author_facet Blanchard, Moïse
Cohen, Doron
Kontorovich, Aryeh
contents Cohen and Kontorovich (COLT 2023) initiated the study of what we call here the Binomial Empirical Process: the maximal absolute value of a sequence of inhomogeneous normalized and centered binomials. They almost fully analyzed the case where the binomials are independent, and the remaining gap was closed by Blanchard and Voráček (ALT 2024). In this work, we study the much more general and challenging case with correlations. In contradistinction to Gaussian processes, whose behavior is characterized by the covariance structure, we discover that, at least somewhat surprisingly, for binomial processes covariance does not even characterize convergence. Although a full characterization remains out of reach, we take the first steps with nontrivial upper and lower bounds in terms of covering numbers.
format Preprint
id arxiv_https___arxiv_org_abs_2402_07058
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Correlated Binomial Process
Blanchard, Moïse
Cohen, Doron
Kontorovich, Aryeh
Probability
Cohen and Kontorovich (COLT 2023) initiated the study of what we call here the Binomial Empirical Process: the maximal absolute value of a sequence of inhomogeneous normalized and centered binomials. They almost fully analyzed the case where the binomials are independent, and the remaining gap was closed by Blanchard and Voráček (ALT 2024). In this work, we study the much more general and challenging case with correlations. In contradistinction to Gaussian processes, whose behavior is characterized by the covariance structure, we discover that, at least somewhat surprisingly, for binomial processes covariance does not even characterize convergence. Although a full characterization remains out of reach, we take the first steps with nontrivial upper and lower bounds in terms of covering numbers.
title Correlated Binomial Process
topic Probability
url https://arxiv.org/abs/2402.07058