- Hardcover: 190 pages
- Publisher: Springer; 1st ed. 2016 edition (November 16, 2016)
- Language: English
- ISBN-10: 3319432214
- ISBN-13: 978-3319432212
- Product Dimensions: 6.1 x 0.6 x 9.2 inches
- Shipping Weight: 1.1 pounds (View shipping rates and policies)
- Amazon Best Sellers Rank: #1,047,621 in Books (See Top 100 in Books)
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An Introduction to Transfer Entropy: Information Flow in Complex Systems 1st ed. 2016 Edition
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From the Back Cover
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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