Journal article

Open-end nonparametric sequential change-point detection based on the retrospective CUSUM statistic

Mark Holmes, Ivan Kojadinovic

ELECTRONIC JOURNAL OF STATISTICS | INST MATHEMATICAL STATISTICS-IMS | Published : 2021

Abstract

The aim of online monitoring is to issue an alarm as soon as there is significant evidence in the collected observations to suggest that the underlying data generating mechanism has changed. This work is concerned with open-end, nonparametric procedures that can be interpreted as statistical tests. The proposed monitoring schemes consist of computing the so-called retrospective CUSUM statistic (or minor variations thereof) after the arrival of each new observation. After proposing suitable threshold functions for the chosen detectors, the asymptotic validity of the procedures is investigated in the special case of monitoring for changes in the mean, both under the null hypothesis of stationa..

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University of Melbourne Researchers

Grants

Awarded by Australian Research Council


Funding Acknowledgements

Mark Holmes is supported by Future Fellowship FT160100166 from the Australian Research Council.