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Volumn 4669 LNCS, Issue PART 2, 2007, Pages 157-168

Information theoretic derivations for causality detection: Application to human gait

Author keywords

Conditional relative entropy; Human gait; Mutual information; Surrogate testing; VARMA GARCH

Indexed keywords

ENTROPY; GAIT ANALYSIS; TIME SERIES ANALYSIS;

EID: 38149122366     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-74695-9_17     Document Type: Conference Paper
Times cited : (2)

References (12)
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  • 3
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    • When Human Walking Becomes Random Walking: Fractal Analysis and Modeling of Gait Rhythm Fluctuations
    • Hausdorff, J.M., et al.: When Human Walking Becomes Random Walking: Fractal Analysis and Modeling of Gait Rhythm Fluctuations. Physica A 302, 138-147 (2001)
    • (2001) Physica A , vol.302 , pp. 138-147
    • Hausdorff, J.M.1
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    • 0038042506 scopus 로고    scopus 로고
    • Asymptotic Theory for a Vector ARMA-GARCH Model
    • Ling, S., McAleer, M.: Asymptotic Theory for a Vector ARMA-GARCH Model. Econometric Theory 19, 280-310 (2003)
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    • Synchronization as Adjustment of Information Rates: Detection from Bivariate Time Series
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    • Estimation of Entropy and Mutual Information
    • Paninski, L.: Estimation of Entropy and Mutual Information. Neural Computation 15, 1191-1253 (2003)
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    • Testing for Nonlinearity in Time Series: The Method of Surrogate Data
    • Theiler, J., Eubank, S., Longtin, A., Galdrikian, B., Farmer, J.D.: Testing for Nonlinearity in Time Series: The Method of Surrogate Data. Physica D 58, 77-94 (1992)
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    • Theiler, J.1    Eubank, S.2    Longtin, A.3    Galdrikian, B.4    Farmer, J.D.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.