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20182023
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eess.SY2023

Exactly Optimal Quickest Change Detection of Markov Chains

Jason J. Ford, Justin M. Kennedy, Caitlin Tompkins +2

This paper establishes that an exactly optimal rule for Bayesian Quickest Change Detection (QCD) of Markov chains is a threshold test on the no change posterior. We also provide a…

eess.SY2020

Exactly Optimal Bayesian Quickest Change Detection for Hidden Markov Models

Jason J. Ford, Jasmin James, Timothy L. Molloy

This paper considers the quickest detection problem for hidden Markov models (HMMs) in a Bayesian setting. We construct an augmented HMM representation of the problem that allows t…

eess.SY2019

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

Jason J. Ford, Jasmin James, Timothy L. Molloy

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 (QC…

eess.SY2019

A Novel Technique for Rejecting Non-Aircraft Artefacts in Above Horizon Vision-Based Aircraft Detection

Jasmin James, Jason J. Ford, Timothy L. Molloy

Unmanned aerial vehicle (UAV) operations are steadily expanding into many important applications. A key technology for better enabling their commercial use is an onboard sense and…

eess.SY2018

Quickest Detection of Intermittent Signals With Application to Vision Based Aircraft Detection

Jasmin James, Jason J. Ford, Timothy L. Molloy

In this paper we consider the problem of quickly detecting changes in an intermittent signal that can (repeatedly) switch between a normal and an anomalous state. We pose this inte…