SYSYSep 16, 2019

On the Informativeness of Measurements in Shiryaev's Bayesian Quickest Change Detection

arXiv:1903.032835 citationsh-index: 24
AI Analysis

This work provides theoretical insight for researchers in change detection, but is incremental as it only describes a phenomenon without proposing a new method or demonstrating practical improvement.

The paper identifies a weak super-martingale phenomenon in Shiryaev's Bayesian quickest change detection test statistic under a condition on relative entropy, showing it is unsuitable for detecting subtle changes.

This paper provides the first description of a weak practical super-martingale phenomenon that can emerge in the test statistic in Shiryaev's Bayesian quickest change detection (QCD) problem. We establish that this super-martingale phenomenon can emerge under a condition on the relative entropy between pre and post change densities when the measurements are insufficiently informative to overcome the change time's geometric prior. We illustrate this super-martingale phenomenon in a simple Bayesian QCD problem which highlights the unsuitability of Shiryaev's test statistic for detecting subtle change events.

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