Transfer entropy

Transfer entropy is a non-parametric statistic measuring the amount of directed (time-asymmetric) transfer of information between two random… (More)
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Topic mentions per year

2000-2018
0204020002018

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2014
2014
Transfer entropy is a measure of information transfer between two time series. It is an asymmetric measure based on entropy… (More)
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2013
2013
We propose a thermodynamic interpretation of transfer entropy near equilibrium, using a specialised Boltzmann’s principle. The… (More)
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2013
2013
For the evaluation of information flow in bivariate time series, information measures have been employed, such as the transfer… (More)
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Highly Cited
2010
Highly Cited
2010
Understanding causal relationships, or effective connectivity, between parts of the brain is of utmost importance because a large… (More)
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2010
2010
Transfer entropy (TE) is a popular measure of information flow found to perform consistently well in different settings. Symbolic… (More)
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2009
2009
A number of measures have been proposed for the direction of the coupling between two time series, and transfer entropy (TE) has… (More)
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Highly Cited
2007
Highly Cited
2007
In continuous chemical processes, variations of process variables usually travel along propagation paths in the direction of the… (More)
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2007
2007
Reverse engineering of gene regulatory networks from microarray time series data has been a challenging problem due to the limit… (More)
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2005
2005
In terms of transfer entropy, we investigate the strength and the direction of information transfer in the US stock market… (More)
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Highly Cited
2000
Highly Cited
2000
An information theoretic measure is derived that quantifies the statistical coherence between systems evolving in time. The… (More)
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