An Introduction to Transfer Entropy: Information Flow in Complex Systems

T. Bossomaier, L. Barnett, M. Harré, J.T. Lizier
An Introduction to Transfer Entropy: Information Flow in Complex Systems
Springer, 2016.

This book considers a relatively new measure 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.

 

SpringerLink access to PDFs: http://bit.ly/te-book-2016

Springer hard copy listing: http://bit.ly/te-book-2016-hardcopy

Amazon listing: http://amzn.to/2f5YdYW

Source: link.springer.com