Mutual nonlinear prediction as a tool to evaluate coupling strength and directionality in bivariate time series: Comparison among different strategies based onknearest neighbors
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From Granger causality to long-term causality: application to climatic data.Environmental enrichment modulates cortico-cortical interactions in the mouse.MuTE: a MATLAB toolbox to compare established and novel estimators of the multivariate transfer entropyCardiovascular and cardiorespiratory coupling analyses: a review.Testing for causality in reconstructed state spaces by an optimized mixed prediction method.Expanding the transfer entropy to identify information circuits in complex systems.Nonuniform state-space reconstruction and coupling detection.Assessment of resampling methods for causality testing: A note on the US inflation behavior.Estimating the decomposition of predictive information in multivariate systems.Assessing causality in brain dynamics and cardiovascular control.Measuring connectivity in linear multivariate processes: definitions, interpretation, and practical analysis.Reducing the bias of causality measures.Reconstructing phase dynamics of oscillator networks.Cardiovascular regulation during sleep quantified by symbolic coupling traces.Information-based detection of nonlinear Granger causality in multivariate processes via a nonuniform embedding technique.Information directionality in coupled time series using transcripts.Short-term complexity indexes of heart period and systolic arterial pressure variabilities provide complementary information.Synchronization of low-frequency oscillations in the human cardiovascular system.
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Mutual nonlinear prediction as a tool to evaluate coupling strength and directionality in bivariate time series: Comparison among different strategies based onknearest neighbors
description
im August 2008 veröffentlichter wissenschaftlicher Artikel
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scientific article published on 01 August 2008
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wetenschappelijk artikel
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наукова стаття, опублікована в серпні 2008
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name
Mutual nonlinear prediction as ...... ies based onknearest neighbors
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Mutual nonlinear prediction as ...... ies based onknearest neighbors
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type
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Mutual nonlinear prediction as ...... ies based onknearest neighbors
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Mutual nonlinear prediction as ...... ies based onknearest neighbors
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Mutual nonlinear prediction as ...... ies based onknearest neighbors
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Mutual nonlinear prediction as ...... ies based onknearest neighbors
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Mutual nonlinear prediction as ...... s based on k nearest neighbors
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P2860
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10.1103/PHYSREVE.78.026201
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2008-08-01T00:00:00Z