An Introduction to Transfer Entropy: Information Flow in Complex Systems
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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An Introduction to Transfer Entropy: Information Flow in Complex Systems
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.

179.99 In Stock
An Introduction to Transfer Entropy: Information Flow in Complex Systems

An Introduction to Transfer Entropy: Information Flow in Complex Systems

An Introduction to Transfer Entropy: Information Flow in Complex Systems

An Introduction to Transfer Entropy: Information Flow in Complex Systems

Hardcover(1st ed. 2016)

$179.99 
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Overview

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.


Product Details

ISBN-13: 9783319432212
Publisher: Springer International Publishing
Publication date: 11/16/2016
Edition description: 1st ed. 2016
Pages: 190
Product dimensions: 6.10(w) x 9.25(h) x (d)

Table of Contents

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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