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This article is cited in 30 scientific papers (total in 30 papers)
Optimal and asymptotically optimal CUSUM rules for change point detection in the Brownian motion model with multiple alternatives
O. Hadjiliadis, V. Moustakides Columbia University
Abstract:
This work examines the problem of sequential change detection in the constant drift of a Brownian motion in the case of multiple alternatives. As a performance measure an extended Lorden's criterion is proposed. When the possible drifts, assumed after the change, have the same sign, the CUSUM rule, designed to detect the smallest in absolute value drift, is proven to be the optimum. If the drifts have opposite signs, then a specific 2-CUSUM rule is shown to be asymptotically optimal as the frequency of false alarms tends to infinity.
Keywords:
change detection, quickest detection, CUSUM, two-sided CUSUM.
Received: 16.12.2002
Citation:
O. Hadjiliadis, V. Moustakides, “Optimal and asymptotically optimal CUSUM rules for change point detection in the Brownian motion model with multiple alternatives”, Teor. Veroyatnost. i Primenen., 50:1 (2005), 131–144; Theory Probab. Appl., 50:1 (2006), 75–85
Linking options:
https://www.mathnet.ru/eng/tvp161https://doi.org/10.4213/tvp161 https://www.mathnet.ru/eng/tvp/v50/i1/p131
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