| Influence analysis for high-dimensional time series with an application to epileptic seizure onset zone detection. | |
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MedLine Citation:
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PMID: 23354014 Owner: NLM Status: Publisher |
Abstract/OtherAbstract:
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Granger causality is a useful concept for studying causal relations in networks. However, numerical problems occur when applying the corresponding methodology to high-dimensional time series showing co-movement, e.g. EEG recordings or economic data. In order to deal with these shortcomings, we propose a novel method for the causal analysis of such multivariate time series based on Granger causality and factor models. We present the theoretical background, succesfully assess our methodology with the help of simulated data and show a potential application in EEG analysis of epileptic seizures. |
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Authors:
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Christoph Flamm; Andreas Graef; Susanne Pirker; Christoph Baumgartner; Manfred Deistler |
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Publication Detail:
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Type: JOURNAL ARTICLE Date: 2013-1-24 |
Journal Detail:
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Title: Journal of neuroscience methods Volume: - ISSN: 1872-678X ISO Abbreviation: J. Neurosci. Methods Publication Date: 2013 Jan |
Date Detail:
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Created Date: 2013-1-28 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 7905558 Medline TA: J Neurosci Methods Country: - |
Other Details:
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Languages: ENG Pagination: - Citation Subset: - |
Copyright Information:
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Copyright © 2012. Published by Elsevier B.V. |
Affiliation:
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Institute for Mathematical Methods in Economics, Vienna University of Technology, Vienna, Austria. Electronic address: christoph.flamm@tuwien.ac.at. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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