Quickest detection of an abrupt distribution change with an unknown time varying parameter is considered. A novel adaptive approach is proposed to tackle this problem, which is shown to outperform the celebrated Parallel CUSUM Test. Performance is evaluated through theoretical analysis and numerical simulations.
['Chengzhi Li', 'Huaiyu Dai', 'Husheng Li']
Adaptive quickest change detection with unknown parameter