Gölz, Martin ; Zoubir, Abdelhak M. ; Koivunen, Visa (2023)
Spatial Inference Using Censored Multiple Testing with FDR Control.
2023 IEEE International Conference on Acoustics, Speech and Signal Processing. Rhodes Island, Greece (04.06.2023-10.06.2023)
doi: 10.1109/ICASSP49357.2023.10097059
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (Abstract)
A wireless sensor network performs spatial inference on a physical phenomenon of interest. The areas in which this phenomenon exhibits interesting or anomalous behavior are identified whilst controlling false positives. We expand our previous work based on multiple hypothesis testing (MHT) and local false discovery rates to save energy and reduce spectrum use. The number of transmissions from sensors producing uninformative statistics are reduced by introducing censoring for MHT that imposes a communication rate constraint while maintaining the desired performance. Two novel methods are proposed. As our numerical experiments demonstrate, both approaches reduce the number of transmissions while maintaining false discovery rate control. In addition, one method allows to either define a fixed number of total transmissions or to trade the number of transmissions off against the achieved detection power.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2023 |
| Autor(en): | Gölz, Martin ; Zoubir, Abdelhak M. ; Koivunen, Visa |
| Art des Eintrags: | Bibliographie |
| Titel: | Spatial Inference Using Censored Multiple Testing with FDR Control |
| Sprache: | Englisch |
| Publikationsjahr: | 5 Mai 2023 |
| Verlag: | IEEE |
| Buchtitel: | IEEE ICASSP 2023: Conference Proceedings |
| Veranstaltungstitel: | 2023 IEEE International Conference on Acoustics, Speech and Signal Processing |
| Veranstaltungsort: | Rhodes Island, Greece |
| Veranstaltungsdatum: | 04.06.2023-10.06.2023 |
| DOI: | 10.1109/ICASSP49357.2023.10097059 |
| Kurzbeschreibung (Abstract): | A wireless sensor network performs spatial inference on a physical phenomenon of interest. The areas in which this phenomenon exhibits interesting or anomalous behavior are identified whilst controlling false positives. We expand our previous work based on multiple hypothesis testing (MHT) and local false discovery rates to save energy and reduce spectrum use. The number of transmissions from sensors producing uninformative statistics are reduced by introducing censoring for MHT that imposes a communication rate constraint while maintaining the desired performance. Two novel methods are proposed. As our numerical experiments demonstrate, both approaches reduce the number of transmissions while maintaining false discovery rate control. In addition, one method allows to either define a fixed number of total transmissions or to trade the number of transmissions off against the achieved detection power. |
| Fachbereich(e)/-gebiet(e): | 18 Fachbereich Elektrotechnik und Informationstechnik 18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Nachrichtentechnik 18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Nachrichtentechnik > Signalverarbeitung |
| Hinterlegungsdatum: | 10 Mai 2023 13:27 |
| Letzte Änderung: | 10 Mai 2023 13:27 |
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