Harnessing the power of topological data analysis to detect change points

DOI10.1002/env.2612zbMATH Open1545.62809MaRDI QIDQ6626123

Umar Islambekov, Monisha Yuvaraj, Yulia R. Gel

Publication date: 28 October 2024

Published in: Environmetrics (Search for Journal in Brave)

zbMATH Keywords

Betti numberstopological data analysispersistent homologychange-point detection

Mathematics Subject Classification ID

Applications of statistics to environmental and related topics (62P12)

Cites Work

• Title not available (Why is that?)
• Hierarchical clustering via joint between-within distances: extending Ward's minimum variance method
• Random geometric complexes in the thermodynamic regime
• Limit theorems for persistence diagrams
• Computing persistent homology
• Topological persistence and simplification
• Testing for multiple change points
• Change‐point monitoring in linear models
• Topology and data
• A Nonparametric Approach for Multiple Change Point Analysis of Multivariate Data

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