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seminars:stat:feb82024

Statistics Seminar

Department of Mathematics and Statistics

DATE: | Thursday, February 8, 2024 |
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TIME: | 1:15pm – 2:15pm |

LOCATION: | WH 100E |

SPEAKER: | Zhongyuan Zhao, Binghamton University |

TITLE: | Analytic Formulae for the Minimax Characteristics of the Generalized Shiryaev–Roberts Quickest Change-Point Detection Procedure under Exponential Observations |

**Abstract**

We derive analytically exact closed-form formulae for a host of performance characteristics delivered by the Generalized Shiryaev–Roberts (GSR) change-point detection procedure devised to detect a shift in the baseline mean of a sequence of independent exponentially distributed observations. Specifically, the formula is found through direct solution of the respective integral (renewal) equation, and is a general result in that the GSR procedure’s headstart is not restricted to a bounded range, nor is there a “ceiling” value for the detection threshold. Apart from the theoretical significance (in change-point detection, exact closed-form performance formulae are typically either difficult or impossible to get, especially for the GSR procedure), the obtained formula is also useful to a practitioner: in cases of practical interest, the formula is a function linear in both the detection threshold and the headstart, and, therefore, the ARL to false alarm of the GSR procedure can be easily computed.

seminars/stat/feb82024.txt · Last modified: 2024/02/05 15:11 by qyu

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