Precise False Alarm Rate of the SUM-CUSUM Scheme for High-Dimensional Streaming Data

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this paper, we derive a precise false alarm rate of the SUM-CUSUM scheme when monitoring high-dimensional data streams or large-scale local data streams in the modern asymptotic regime, where the dimensionality of data tends to infinity. Both high-level easy-to-understand arguments and rigorous proofs based on the localization Theorem from Yakir (2013) are provided. The result enables us to improve a hypothesized detection threshold of the SUM-CUSUM scheme made in Mei (Biometrika, 2010) to achieve the desired false alarm rate.

Original languageEnglish
Title of host publicationISIT 2025 - 2025 IEEE International Symposium on Information Theory, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798331543990
DOIs
StatePublished - 2025
Event2025 IEEE International Symposium on Information Theory, ISIT 2025 - Ann Arbor, United States
Duration: 22 Jun 202527 Jun 2025

Publication series

NameIEEE International Symposium on Information Theory - Proceedings
ISSN (Print)2157-8095

Conference

Conference2025 IEEE International Symposium on Information Theory, ISIT 2025
Country/TerritoryUnited States
CityAnn Arbor
Period22/06/2527/06/25

Bibliographical note

Publisher Copyright:
© 2025 IEEE.

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