Exact optimality of the Shiryaev-Roberts procedure for detecting changes in distributions

Moshe Pollak*, Alexander G. Tartakovsky

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

8 Scopus citations

Abstract

We consider the simple changepoint problem setting, where observations are independent, iid pre-change and iid post-change, with known pre- and post-change distributions. The Shiryaev-Roberts detection procedure is known to be asymptotically minimax in the sense of minimizing maximal expected detection delay subject to a bound on the average run length to false alarm, as the latter goes to infinity. Here we present other optimality properties of the Shiryaev-Roberts procedure. Specifically, we first prove that the Shiryaev-Roberts procedure is exactly optimal (for any average run length to false alarm) with respect to the integral average detection delay. We then continue to tackle the problem of quickest detection of a change in a stationary regime, considered by Shiryaev in 1961 for a Brownian motion, and show that the repeated Shiryaev-Roberts procedure minimizes the expected delay to detection of a change occurring at a far horizon, which precedes by a stationary flow of false alarms.

Original languageEnglish
Title of host publication2008 International Symposium on Information Theory and its Applications, ISITA2008
DOIs
StatePublished - 2008
Event2008 International Symposium on Information Theory and its Applications, ISITA2008 - Auckland, New Zealand
Duration: 7 Dec 200810 Dec 2008

Publication series

Name2008 International Symposium on Information Theory and its Applications, ISITA2008

Conference

Conference2008 International Symposium on Information Theory and its Applications, ISITA2008
Country/TerritoryNew Zealand
CityAuckland
Period7/12/0810/12/08

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