Results 1 to 10 of about 317,512 (136)

Permutation Complexity and Coupling Measures in Hidden Markov Models [PDF]

open access: yesEntropy, 2013
Recently, the duality between values (words) and orderings (permutations) has been proposed by the authors as a basis to discuss the relationship between information theoretic measures for finite-alphabet stationary stochastic processes and their ...
Taichi Haruna, Kohei Nakajima
doaj   +8 more sources

Efficient transfer entropy analysis of non-stationary neural time series.

open access: yesPLoS ONE, 2014
Information theory allows us to investigate information processing in neural systems in terms of information transfer, storage and modification. Especially the measure of information transfer, transfer entropy, has seen a dramatic surge of interest in ...
Patricia Wollstadt   +4 more
doaj   +7 more sources

Information transfer in signaling pathways: A study using coupled simulated and experimental data [PDF]

open access: yesBMC Bioinformatics, 2008
Background The topology of signaling cascades has been studied in quite some detail. However, how information is processed exactly is still relatively unknown. Since quite diverse information has to be transported by one and the same signaling cascade (e.
Dixon C Jane   +3 more
doaj   +7 more sources

RTransferEntropy — Quantifying information flow between different time series using effective transfer entropy

open access: yesSoftwareX, 2019
This paper shows how to quantify and test for the information flow between two time series with Shannon transfer entropy and Rényi transfer entropy using the R package RTransferEntropy. We discuss the methodology, the bias correction applied to calculate
Simon Behrendt   +3 more
doaj   +3 more sources

On Thermodynamic Interpretation of Transfer Entropy

open access: yesEntropy, 2013
We propose a thermodynamic interpretation of transfer entropy near equilibrium, using a specialised Boltzmann’s principle. The approach relates conditional probabilities to the probabilities of the corresponding state transitions.
Don C. Price   +2 more
doaj   +3 more sources

Contribution to Transfer Entropy Estimation via the k-Nearest-Neighbors Approach

open access: yesEntropy, 2015
This paper deals with the estimation of transfer entropy based on the k-nearest neighbors (k-NN) method. To this end, we first investigate the estimation of Shannon entropy involving a rectangular neighboring region, as suggested in already existing ...
Jie Zhu   +3 more
doaj   +3 more sources

The effect of nanoparticle shape on hydrothermal performance and entropy generation of boehmit alumina nanofluid in a cylindrical heat sink with helical minichannels [PDF]

open access: yesJournal of Heat and Mass Transfer Research, 2022
In the present paper, heat transfer, fluid flow characteristics and entropy generation of boehmite alumina nanofluid flowing through a cylindrical helical minichannels heat sink are examined numerically.
Alireza Falahat, Reza Bahoosh
doaj   +1 more source

Investigating the financial crisis of the Tehran Stock Exchange using the entropy method of transfer and comparing it with the US financial market [PDF]

open access: yesIranian Journal of Finance, 2021
This work aims to analyze the relationship between stocks in the financial market of the Tehran Stock Exchange embedded in their transfer entropy. In this regard, the behavior of the transfer entropy between indices of 180 corporations of the Tehran ...
Arefeh Mohaghegh   +3 more
doaj   +1 more source

Numerical investigation of entropy generation of turbulent flow in twisted tri-lobed tubes

open access: yesCase Studies in Thermal Engineering, 2023
Twisted tri-lobed tubes have garnered attention due to their exceptional heat transfer efficiency and straightforward fabrication. Existing literature lacks comprehensive assessments of the overall heat transfer performance of twisted tri-lobed tubes ...
Kexin Liu   +5 more
doaj   +1 more source

Fourier-domain transfer entropy spectrum

open access: yesPhysical Review Research, 2021
We propose the Fourier-domain transfer entropy spectrum, a generalization of transfer entropy, as a model-free metric of causality. For arbitrary systems, this approach systematically quantifies the causality among their different system components ...
Yang Tian   +3 more
doaj   +1 more source

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