Weak Change Detection: A Review

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.

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Journal
Mathematics
Published
2026-04-12
DOI
https://doi.org/10.3390/math14081278
Primary Topic
Statistical Methods and Inference
Type
article
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article

Weak Change Detection: A Review

Fatma Aouissaoui, Joseph Ngatchou-Wandji
Mathematics
Statistical Methods and Inference
article

Weak Change Detection: A Review

Fatma Aouissaoui, Joseph Ngatchou-Wandji
article en

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.

MathematicsVol. 14(8)
École des Hautes Études en Santé Publique (FR), Université de Bretagne Sud (FR), Institut Élie Cartan de Lorraine (FR), Université Rennes 2 (FR), Laboratoire de Mathématiques de Bretagne Atlantique (FR), Université de Rennes (FR), University of Sousse (TN)
Openalex Percentile: Top 20%
Statistical Methods and Inference
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