Special Issue "Transfer Entropy"
A special issue of Entropy (ISSN 1099-4300).
Deadline for manuscript submissions: closed (31 December 2014) | Viewed by 135738
A printed edition of this Special Issue is available here.
In many research fields, we need to analyze the causal interactions among the variables of a complex system, to better understand the physical behavior of it. While linear techniques, such as correlation, are widely used to identify and characterize these relationships, more advanced information-based techniques, such as mutual information and transfer entropy, have proven to be superior. Transfer entropy has been used to analyze the causal relationships between subsystem variables from data. The fact that it is non-symmetric enables one to infer the direction of information flow. Granger causality, which generally relies on autoregression to assess interactions, has been shown to be equivalent to transfer entropy in the case of Gaussian variables.
In this special issue, we would like to collect papers focusing on both the theory and applications of Transfer Entropy. The application areas are diverse and include neuroscience, systems biology, bioinformatics, environmental sciences, climatology, engineering, finance, astronomy, Earth and space sciences, and astronomy. Of special interest are theoretical papers elucidating the state of the art of data-based transfer entropy estimation techniques.
Dr. Deniz Gencaga
Manuscript Submission Information
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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Entropy is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- transfer entropy
- causal relationships
- entropy estimation
- statistical dependency
- nonlinear interactions
- interacting subsystems
- Granger causality
- mutual information
- machine learning
- data mining