Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Nef, Annina | - |
dc.contributor.author | Glüge, Stefan | - |
dc.contributor.author | Ott, Thomas | - |
dc.contributor.author | Kauf, Peter | - |
dc.date.accessioned | 2018-03-28T10:00:24Z | - |
dc.date.available | 2018-03-28T10:00:24Z | - |
dc.date.issued | 2014 | - |
dc.identifier.uri | http://www.ieice.org/nolta/symposium/archive/2014/nolta14fullvol.pdf | de_CH |
dc.identifier.uri | https://digitalcollection.zhaw.ch/handle/11475/4394 | - |
dc.description | Publiziert im Rahmen des KTI Projektes Sales Forecasting | de_CH |
dc.language.iso | en | de_CH |
dc.publisher | IECE | de_CH |
dc.rights | Licence according to publishing contract | de_CH |
dc.subject | Granger causality | de_CH |
dc.subject | Transfer entropy | de_CH |
dc.subject | Causality detection | de_CH |
dc.subject.ddc | 003: Systeme | de_CH |
dc.title | Causality detection in complex time dependent systems examplified in financial time series | de_CH |
dc.type | Konferenz: Paper | de_CH |
dcterms.type | Text | de_CH |
zhaw.departement | Life Sciences und Facility Management | de_CH |
zhaw.organisationalunit | Institut für Computational Life Sciences (ICLS) | de_CH |
zhaw.conference.details | Nonlinear Theory and Applications 2014 (NOLTA), Luzern, 14-18 September 2014 | de_CH |
zhaw.funding.eu | No | de_CH |
zhaw.originated.zhaw | Yes | de_CH |
zhaw.pages.end | 179 | de_CH |
zhaw.pages.start | 176 | de_CH |
zhaw.publication.status | publishedVersion | de_CH |
zhaw.publication.review | Peer review (Abstract) | de_CH |
zhaw.title.proceedings | Proceedings of the 2014 International Symposium on Nonlinear Theory and its Applications (NOLTA2014) | de_CH |
zhaw.webfeed | Bio-Inspired Methods & Neuromorphic Computing | de_CH |
zhaw.webfeed | Predictive Analytics | de_CH |
zhaw.webfeed | Data Management & Visualisation | de_CH |
Appears in collections: | Publikationen Life Sciences und Facility Management |
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Nef, A., Glüge, S., Ott, T., & Kauf, P. (2014). Causality detection in complex time dependent systems examplified in financial time series [Conference paper]. Proceedings of the 2014 International Symposium on Nonlinear Theory and Its Applications (NOLTA2014), 176–179. http://www.ieice.org/nolta/symposium/archive/2014/nolta14fullvol.pdf
Nef, A. et al. (2014) ‘Causality detection in complex time dependent systems examplified in financial time series’, in Proceedings of the 2014 International Symposium on Nonlinear Theory and its Applications (NOLTA2014). IECE, pp. 176–179. Available at: http://www.ieice.org/nolta/symposium/archive/2014/nolta14fullvol.pdf.
A. Nef, S. Glüge, T. Ott, and P. Kauf, “Causality detection in complex time dependent systems examplified in financial time series,” in Proceedings of the 2014 International Symposium on Nonlinear Theory and its Applications (NOLTA2014), 2014, pp. 176–179. [Online]. Available: http://www.ieice.org/nolta/symposium/archive/2014/nolta14fullvol.pdf
NEF, Annina, Stefan GLÜGE, Thomas OTT und Peter KAUF, 2014. Causality detection in complex time dependent systems examplified in financial time series. In: Proceedings of the 2014 International Symposium on Nonlinear Theory and its Applications (NOLTA2014) [online]. Conference paper. IECE. 2014. S. 176–179. Verfügbar unter: http://www.ieice.org/nolta/symposium/archive/2014/nolta14fullvol.pdf
Nef, Annina, Stefan Glüge, Thomas Ott, and Peter Kauf. 2014. “Causality Detection in Complex Time Dependent Systems Examplified in Financial Time Series.” Conference paper. In Proceedings of the 2014 International Symposium on Nonlinear Theory and Its Applications (NOLTA2014), 176–79. IECE. http://www.ieice.org/nolta/symposium/archive/2014/nolta14fullvol.pdf.
Nef, Annina, et al. “Causality Detection in Complex Time Dependent Systems Examplified in Financial Time Series.” Proceedings of the 2014 International Symposium on Nonlinear Theory and Its Applications (NOLTA2014), IECE, 2014, pp. 176–79, http://www.ieice.org/nolta/symposium/archive/2014/nolta14fullvol.pdf.
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