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161202 ||| eng |
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|a 9783319432229
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|a Bossomaier, Terry
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| 245 |
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|a An Introduction to Transfer Entropy
|h Elektronische Ressource
|b Information Flow in Complex Systems
|c by Terry Bossomaier, Lionel Barnett, Michael Harré, Joseph T. Lizier
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| 250 |
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|a 1st ed. 2016
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| 260 |
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|a Cham
|b Springer International Publishing
|c 2016, 2016
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| 300 |
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|a XXIX, 190 p. 24 illus., 21 illus. in color
|b online resource
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| 505 |
0 |
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|a Introduction -- Statistical Preliminaries -- Information Theory -- Transfer Entropy -- Information Transfer in Canonical Systems -- Information Transfer in Financial Markets -- Miscellaneous Applications of Transfer Entropy -- Concluding Remarks
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| 653 |
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|a Neuroscience
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| 653 |
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|a Complex Systems
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| 653 |
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|a Computer science
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| 653 |
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|a Engineering mathematics
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| 653 |
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|a Neurosciences
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| 653 |
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|a Artificial Intelligence
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| 653 |
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|a System theory
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| 653 |
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|a Engineering—Data processing
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| 653 |
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|a Artificial intelligence
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| 653 |
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|a Mathematical physics
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| 653 |
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|a Theory of Computation
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| 653 |
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|a Theoretical, Mathematical and Computational Physics
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| 653 |
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|a Mathematical and Computational Engineering Applications
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| 700 |
1 |
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|a Barnett, Lionel
|e [author]
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| 700 |
1 |
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|a Harré, Michael
|e [author]
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| 700 |
1 |
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|a Lizier, Joseph T.
|e [author]
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b Springer
|a Springer eBooks 2005-
|
| 856 |
4 |
0 |
|u https://doi.org/10.1007/978-3-319-43222-9?nosfx=y
|x Verlag
|3 Volltext
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| 082 |
0 |
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|a 006.3
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| 520 |
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|a This book considers a relatively new metric in complex systems, transfer entropy, derived from a series of measurements, usually a time series. After a qualitative introduction and a chapter that explains the key ideas from statistics required to understand the text, the authors then present information theory and transfer entropy in depth. A key feature of the approach is the authors' work to show the relationship between information flow and complexity. The later chapters demonstrate information transfer in canonical systems, and applications, for example in neuroscience and in finance. The book will be of value to advanced undergraduate and graduate students and researchers in the areas of computer science, neuroscience, physics, and engineering
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