Exact distribution of the Generalized Shiryaev–Roberts stopping time under the minimax Brownian motion setup. Issue 1 (2nd January 2016)

• Record Type: Journal Article
• Authors: Polunchenko, Aleksey S.
• Is Part Of: Sequential analysis. Volume 35:Issue 1(2016)
• Page Start: 108
• Page End: 143
• Publication Date: 2016-01-02
• Subjects: First passage times -- Generalized Shiryaev–Roberts procedure -- Kolmogorov forward equation -- Markov diffusion processes -- method of separation of variables -- parabolic partial differential equations -- quickest change-point detection -- sequential analysis -- Sturm–Liouville theory; 62L10 -- 60G40 -- 60J25 -- 60J60 -- 35K20; Sequential analysis -- Periodicals; 519.54
• DOI: 10.1080/07474946.2016.1132066
• Languages: English
• ISSNs: 0747-4946

Abstract

ABSTRACT: We consider the quickest change-point detection problem where the aim is to detect the onset of a prespecified drift in "live"-monitored standard Brownian motion; the change-point is assumed unknown (nonrandom). The object of interest is the distribution of the stopping time associated with the Generalized Shryaev–Roberts (GSR) detection procedure set up to "sense" the presence of the drift in the Brownian motion under surveillance. Specifically, we seek the GSR stopping time's survival function (the tail probability that no alarm is triggered by the GSR procedure prior to a given point in time), and distinguish two scenarios: (a) when the drift never sets in (prechange regime) and (b) when the drift is in effect ab initio (postchange regime). Under each scenario, we obtain a closed-form formula for the respective survival function, with the GSR statistic's (deterministic) nonnegative headstart assumed arbitrarily given. The two formulae are found analytically, through direct solution of the respective Kolmogorov forward equation via the Fourier spectral method to achieve separation of the spacial and temporal variables. We then exploit the obtained formulae numerically and characterize the pre- and postchange distributions of the GSR stopping time depending on three factors: (1) magnitude of the drift, (2) detection threshold, and (3) the GSR statistic's headstart.