Bivariate surrogate techniques: necessity, strengths, and caveats
The concept of surrogates allows testing results from time series analysis against specified null hypotheses. In application to bivariate model dynamics we here compare different types of surrogates, each designed to test against a different null hypothesis, e.g., an underlying bivariate linear stoc...
| Autores: | , , , , |
|---|---|
| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2003 |
| País: | España |
| Institución: | Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya) |
| Repositorio: | Recercat. Dipósit de la Recerca de Catalunya |
| OAI Identifier: | oai:recercat.cat:10230/43634 |
| Acceso en línea: | http://hdl.handle.net/10230/43634 http://dx.doi.org/10.1103/PhysRevE.68.066202 |
| Access Level: | acceso abierto |
| Palabra clave: | Nonlinear signal analysis Synchronization Surrogates |
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Bivariate surrogate techniques: necessity, strengths, and caveatsAndrzejak, Ralph GregorKraskov, AlexanderStögbauer, HaraldMormann, FlorianKreuz, ThomasNonlinear signal analysisSynchronizationSurrogatesThe concept of surrogates allows testing results from time series analysis against specified null hypotheses. In application to bivariate model dynamics we here compare different types of surrogates, each designed to test against a different null hypothesis, e.g., an underlying bivariate linear stochastic process. Two measures that aim at a characterization of interdependence between nonlinear deterministic dynamics were used as discriminating statistics. We analyze eight different stochastic and deterministic models not only to demonstrate the power of the surrogates, but also to reveal some pitfalls and limitations.T.K. and F.M. acknowledge support from the Deutsche Forschungsgemeinschaft.American Physical Society202020202003info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttp://hdl.handle.net/10230/43634http://dx.doi.org/10.1103/PhysRevE.68.066202reponame:Recercat. Dipósit de la Recerca de Catalunyainstname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)InglésPhysical Review E. 2003;68:066202info:eu-repo/semantics/openAccessoai:recercat.cat:10230/436342026-05-29T05:05:01Z |
| dc.title.none.fl_str_mv |
Bivariate surrogate techniques: necessity, strengths, and caveats |
| title |
Bivariate surrogate techniques: necessity, strengths, and caveats |
| spellingShingle |
Bivariate surrogate techniques: necessity, strengths, and caveats Andrzejak, Ralph Gregor Nonlinear signal analysis Synchronization Surrogates |
| title_short |
Bivariate surrogate techniques: necessity, strengths, and caveats |
| title_full |
Bivariate surrogate techniques: necessity, strengths, and caveats |
| title_fullStr |
Bivariate surrogate techniques: necessity, strengths, and caveats |
| title_full_unstemmed |
Bivariate surrogate techniques: necessity, strengths, and caveats |
| title_sort |
Bivariate surrogate techniques: necessity, strengths, and caveats |
| dc.creator.none.fl_str_mv |
Andrzejak, Ralph Gregor Kraskov, Alexander Stögbauer, Harald Mormann, Florian Kreuz, Thomas |
| author |
Andrzejak, Ralph Gregor |
| author_facet |
Andrzejak, Ralph Gregor Kraskov, Alexander Stögbauer, Harald Mormann, Florian Kreuz, Thomas |
| author_role |
author |
| author2 |
Kraskov, Alexander Stögbauer, Harald Mormann, Florian Kreuz, Thomas |
| author2_role |
author author author author |
| dc.subject.none.fl_str_mv |
Nonlinear signal analysis Synchronization Surrogates |
| topic |
Nonlinear signal analysis Synchronization Surrogates |
| description |
The concept of surrogates allows testing results from time series analysis against specified null hypotheses. In application to bivariate model dynamics we here compare different types of surrogates, each designed to test against a different null hypothesis, e.g., an underlying bivariate linear stochastic process. Two measures that aim at a characterization of interdependence between nonlinear deterministic dynamics were used as discriminating statistics. We analyze eight different stochastic and deterministic models not only to demonstrate the power of the surrogates, but also to reveal some pitfalls and limitations. |
| publishDate |
2003 |
| dc.date.none.fl_str_mv |
2003 2020 2020 |
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info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
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article |
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publishedVersion |
| dc.identifier.none.fl_str_mv |
http://hdl.handle.net/10230/43634 http://dx.doi.org/10.1103/PhysRevE.68.066202 |
| url |
http://hdl.handle.net/10230/43634 http://dx.doi.org/10.1103/PhysRevE.68.066202 |
| dc.language.none.fl_str_mv |
Inglés |
| language_invalid_str_mv |
Inglés |
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Physical Review E. 2003;68:066202 |
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info:eu-repo/semantics/openAccess |
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openAccess |
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application/pdf application/pdf |
| dc.publisher.none.fl_str_mv |
American Physical Society |
| publisher.none.fl_str_mv |
American Physical Society |
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Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya) |
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Recercat. Dipósit de la Recerca de Catalunya |
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