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Transfer entropy

Transfer entropy is a non-parametric statistic measuring the amount of directed (time-asymmetric) transfer of information between two random… 
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Related topics

Related topics

14 relations
Autoregressive modelC++Causal inferenceCausality

Papers overview

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2019
2019
Progress in Carnot and Chambadal Modeling of Thermomechanical Engine by Considering Entropy Production and Heat Transfer Entropy
Nowadays the importance of thermomechanical engines in recognized worldwide. Since the industrial revolution, physicists and… 
2018
2018
Long-range inputs and H-current regulate different modes of operation in a multiscale model of mouse M1 microcircuits
We developed a biologically detailed multiscale model of mouse primary motor cortex (M1) microcircuits, incorporating data from… 
2015
2015
Using Information-theoretic Principles to Analyze and Evaluate Complex Adaptive Supply Network Architectures
2014
2014
Dimensional reduction of conditional algebraic multi-information via transcripts
2014
2014
Pattern-based causal relationships discovery from event sequences for modeling behavioral user profile in ubiquitous environments
2013
2013
Transfer Entropy for Coupled Autoregressive Processes
A method is shown for computing transfer entropy over multiple time lags for coupled autoregressive processes using formulas for… 
2011
2011
Information theoretic analysis on a soft robotic arm inspired by the octopus
Recent bio-mimetic robotics and embodied intelligence research have revealed the importance of reciprocal and dynamical coupling… 
2009
2009
Improvement of Symbolic Transfer Entropy
A number of measures have been proposed for the direction of the coupling between two time series, and transfer entropy (TE) has… 
2008
2008
Learning of Joint Attention from Detecting Causality Based on Transfer Entropy
Joint attention, i.e., the behavior of looking at the same object that another person is looking at, plays an important role in… 
2001
2001
Flow through a protruding bluff body–heat and irreversibility analysis
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