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Volumn , Issue , 2013, Pages 467-475

An examination of practical granger causality inference

Author keywords

[No Author keywords available]

Indexed keywords

SPACE DIVISION MULTIPLE ACCESS; STATISTICAL TESTS; TIME SERIES; DATA MINING;

EID: 84930229431     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1137/1.9781611972832.52     Document Type: Conference Paper
Times cited : (43)

References (31)
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    • Beta oscillations in a large-scale sensorimotor cortical network: Directional inuences revealed by Granger causality
    • A. Brovelli, M. Ding, A. Ledberg, Y. Chen, R. Nakamura, and S. L. Bressler. Beta oscillations in a large-scale sensorimotor cortical network: directional inuences revealed by Granger causality. PNAS, 2004.
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    • M. Eichler. A graphical approach for evaluating effective connectivity in neural systems. Phil. Trans. R. Soc. B, 2005.
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    • Granger causality and path diagrams for multivariate time series
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    • Eichler, M.1
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    • On granger causality and the effect of interventions in time series
    • M. Eichler and V. Didelez. On granger causality and the effect of interventions in time series. Lifetime Data Analysis, 2010.
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    • Eichler, M.1    Didelez, V.2
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    • Hiemstra, C.1    Jones, J.D.2
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    • Estimation of a structural vector autoregression model using non-gaussianity
    • A. Hyvärinen, K. Zhang, S. Shimizu, P. O. Hoyer, and P. Dayan. Estimation of a Structural Vector Autoregression Model Using Non-Gaussianity. JMLR, 2010.
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    • Hyvärinen, A.1    Zhang, K.2    Shimizu, S.3    Hoyer, P.O.4    Dayan, P.5
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    • The nonparanormal: Semiparametric estimation of high dimensional undirected graphs
    • H. Liu, J. D. Lafferty, and L. A. Wasserman. The nonparanormal: Semiparametric estimation of high dimensional undirected graphs. JMLR, 2009.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.