Alleviating the influence of weak data asymmetries on Granger-causal analyses

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 7191 LNCS, Issue , 2012, Pages 25-33

  Haufe, Stefan ^a,b   Nikulin, Vadim V ^c   Nolte, Guido ^d  

^a TECHNISCHE UNIVERSITÄT BERLIN   (Germany)

^b Bernstein Focus: Neurotechnology   (Germany)

^c CHARITÉ UNIVERSITÄTSMEDIZIN BERLIN   (Germany)

^d FRAUNHOFER FIRST   (Germany)

Author keywords

ASR; Granger Causality; SiSEC challenge; time inversion; Weak strong asymmetries

Indexed keywords

ASR; GRANGER CAUSALITY; SISEC CHALLENGE; TIME INVERSION; WEAK/STRONG ASYMMETRIES;

SEPARATION;

TIME SERIES;

EID: 84857275271     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-28551-6_4     Document Type: Conference Paper

References (6)

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2. Haufe, S.: Towards EEG source connectivity analysis. PhD thesis, TU Berlin (2011)
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4. Nolte, G., Meinecke, F.C., Ziehe, A., Müller, K.-R.: Identifying interactions in mixed and noisy complex systems. Phys. Rev. E 73, 051913 (2006)
5. Nolte, G., Ziehe, A., Nikulin, V.V., Schlögl, A., Krämer, N., Brismar, T., Müller, K.R.: Robustly estimating the flow direction of information in complex physical systems. Phys. Rev. Lett. 100, 234101 (2008)
6. Nolte, G., Ziehe, A., Krämer, N., Popescu, F., Müller, K.-R.: Comparison of Granger causality and phase slope index. JMLR W&CP 6, 267-276 (2010)