A note on online change point detection-Reference-Cited by-同舟云学术

A note on online change point detection

Published:2023-10-02 Issue:4 Volume:42 Page:438-471
ISSN:0747-4946
Container-title:Sequential Analysis
language:en
Short-container-title:Sequential Analysis

Author:

Yu Yi¹,Madrid Padilla Oscar Hernan²,Wang Daren³,Rinaldo Alessandro⁴

Affiliation:

1. Department of Statistics, University of Warwick, Coventry, UK

2. Department of Statistics, University of California, Los Angeles, Los Angeles, California, USA

3. Department of ACMS, University of Norte Dame, Notre Dame, Indiana, USA

4. Department of Statistics & Data Science, University of Texas at Austin, Austin, Texas, USA

Publisher

Informa UK Limited

Subject

Modeling and Simulation,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/07474946.2023.2276170

Reference36 articles.

1. Delay time in sequential detection of change

2. Delay times of sequential procedures for multiple time series regression models

3. Kernel Spectral Curvature Clustering (KSCC)

4. Sequential change-point detection based on nearest neighbors

5. Chen Hao and Lynna Chu. 2019. “gStream: Graph-Based Sequential Change-Point Detection for Streaming Data.” R package version 0.2.0. https://cran.r-project.org/web/packages/gStream/index.html

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