An Introduction to Transfer Entropy

Information Flow in Complex Systems

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Éditeur :

Springer


Paru le : 2016-11-15



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Description

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.
Pages
190 pages
Collection
n.c
Parution
2016-11-15
Marque
Springer
EAN papier
9783319432212
EAN PDF
9783319432229

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
19
Taille du fichier
4772 Ko
Prix
158,24 €

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