(Q58859946)

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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

scientific article published on 01 August 2008

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Europe PubMed Central

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https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:18850915%20AND%20SRC:MED&resulttype=core&format=json

15 January 2020

Mutual nonlinear prediction as a tool to evaluate coupling strength and directionality in bivariate time series: comparison among different strategies based on k nearest neighbors (English)

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Europe PubMed Central

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https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:18850915%20AND%20SRC:MED&resulttype=core&format=json

15 January 2020

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15 January 2020

2

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15 January 2020

Giandomenico Nollo

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Giandomenico Nollo

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Europe PubMed Central

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15 January 2020

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1 August 2008

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15 January 2020

Physical Review E

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15 January 2020

78

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15 January 2020

2 Pt 2

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15 January 2020

026201

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15 January 2020

Nonlinear multivariate analysis of neurophysiological signals

1 reference

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21 January 2018

System identification: a multi-signal approach for probing neural cardiovascular regulation

1 reference

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Comparing generalized and phase synchronization in cardiovascular and cardiorespiratory signals

1 reference

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Estimating mutual information

1 reference

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21 January 2018

Measuring Information Transfer

1 reference

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21 January 2018

Synchronization as adjustment of information rates: detection from bivariate time series

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21 January 2018

Heartbeat synchronized with ventilation

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Performance of different synchronization measures in real data: a case study on electroencephalographic signals

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Nonlinear interdependencies of EEG signals in human intracranially recorded temporal lobe seizures

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Radial basis function approach to nonlinear Granger causality of time series

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21 January 2018

Bivariate nonlinear prediction to quantify the strength of complex dynamical interactions in short-term cardiovascular variability.

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Mixed predictability and cross-validation to assess non-linear Granger causality in short cardiovascular variability series.

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21 January 2018

Testing for causality

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21 January 2018

Learning driver-response relationships from synchronization patterns.

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21 January 2018

Exploring directionality in spontaneous heart period and systolic pressure variability interactions in humans: implications in the evaluation of baroreflex gain.

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21 January 2018

Identification of coupling direction: application to cardiorespiratory interaction.

1 reference

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21 January 2018

Quantifying the strength of the linear causal coupling in closed loop interacting cardiovascular variability signals.

1 reference

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21 January 2018

Investigating Causal Relations by Econometric Models and Cross-spectral Methods

1 reference

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21 January 2018

Predicting chaotic time series

1 reference

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21 January 2018

Complexity and nonlinearity in short-term heart period variability: comparison of methods based on local nonlinear prediction

1 reference

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21 January 2018

Spurious dimension from correlation algorithms applied to limited time-series data

1 reference

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21 January 2018

Testing for nonlinearity in time series: the method of surrogate data

1 reference

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21 January 2018

Detecting nonlinearity and phase synchronization with surrogate data

1 reference

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21 January 2018

Generating surrogate data for time series with several simultaneously measured variables

1 reference

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21 January 2018

Effective detection of coupling in short and noisy bivariate data

1 reference

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21 January 2018

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