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Influence analysis for high-dimensional time series with an application to epileptic seizure onset zone detection
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 propo...
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| Päätekijät: | , , , , |
|---|---|
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
Elsevier/North-Holland Biomedical Press
2013
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3719213/ https://ncbi.nlm.nih.gov/pubmed/23354014 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.jneumeth.2012.12.025 |
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