Name
Abstract | ||
|---|---|---|
This letter develops an easily-implementable version of Page's CUSUM quickest-detection test, designed to work in certain composite hypothesis scenarios with time-varying data statistics. The decision statistic can be cast in a recursive form and is particularly suited for on-line analysis. By back-testing our approach on publicly-available COVID-19 data we find reliable early warning of infection flare-ups, in fact sufficiently early that the tool may be of use to decision-makers on the timing of restrictive measures that may in the future need to be taken. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/LSP.2021.3068072 | IEEE SIGNAL PROCESSING LETTERS |
Keywords | DocType | Volume |
COVID-19, Pandemics, Delays, Standards, Space technology, Maximum likelihood estimation, Tools, COVID-19 pandemic, MAST, pandemic waves, quickest detection | Journal | 28 |
ISSN | Citations | PageRank |
1070-9908 | 1 | 0.35 |
References | Authors | |
0 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Paolo Braca | 1 | 467 | 46.44 |
| domenico gaglione | 2 | 12 | 3.65 |
| Stefano Marano | 3 | 123 | 9.02 |
| Leonardo M. Millefiori | 4 | 39 | 8.46 |
| Peter Willett | 5 | 1962 | 224.14 |
| Krishna R. Pattipati | 6 | 506 | 82.13 |