Sequential change-point detection in a multinomial logistic regression model

Autor: Li Fuxiao, Chen Zhanshou, Xiao Yanting

Publikováno v: Open Mathematics, Vol 18, Iss 1, Pp 807-819 (2020)

Change-point detection in categorical time series has recently gained attention as statistical models incorporating change-points are common in practice, especially in the area of biomedicine. In this article, we propose a sequential change-point det

Externí odkaz: https://doaj.org/article/57d6e66aa8f6446f8a7263f2a00e538f

Performance study of change‐point detection thresholds for cumulative sum statistic in a sequential context

Autor: Anne Gégout-Petit, Nassim Sahki, Sophie Wantz-Mézières

Publikováno v: Quality and Reliability Engineering International
Quality and Reliability Engineering International, 2020, 1-21, pp.21. ⟨10.1002/qre.2723⟩
Quality and Reliability Engineering International, Wiley, 2020, pp.21. ⟨10.1002/qre.2723⟩

International audience; Sequential detection is based on a recursive statistic and a threshold it must reach to report a change. In this paper, we consider the score-based CUSUM statistic and propose to evaluate the detection performance of some thre

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7caa7e7b44ee22583886e7519ffbfd8e
https://doi.org/10.1002/qre.2723

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Efficient change detection methods for bio and healthcare surveillance

Autor: Han, Sung Won

For the last several decades, sequential change point problems have been studied in both the theoretical area (sequential analysis) and the application area (industrial SPC). In the conventional application, the baseline process is assumed to be stat

Externí odkaz: http://hdl.handle.net/1853/34828