Weak Change Detection: A Review

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Authors: Fatma Aouissaoui, Joseph Ngatchou-Wandji
Cited by: 1
References: 40

Abstract

This article provides a selective review of offline change-point detection methods, with a particular emphasis on weak change-points. The study of such weak changes plays a central role in establishing the asymptotic properties of test statistics designed for detecting fixed (non-vanishing) changes. In addition, it is crucial for analyzing the asymptotic behavior of change-point location estimators. We review the current state of the literature, identify key limitations, and outline promising directions for future research in this challenging setting.

Fields of Study & Subjects

Statistical Methods and Inference Advanced Statistical Process Monitoring Advanced Statistical Methods and Models

Publication details

Journal / source
Mathematics
Publisher
MDPI AG
Volume
14
Issue
8
Pages
1278–1278
Publication date
12 April 2026
Language
EN