£111.22

Springer - An Introduction to Transfer Entropy Book

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Description

Explore the mechanics of information flow in complex systems with this specialized text from Springer. This book provides a comprehensive look at transfer entropy, a metric derived from time series measurements that is essential for understanding dynamic systems. Readers will benefit from a structured learning path that begins with a qualitative introduction and a foundational chapter on the statistical concepts necessary to master the subject. The text then moves into an in-depth exploration of information theory and transfer entropy. A significant aspect of this work is the detailed examination of the relationship between information flow and complexity. To bridge theory and practice, the book includes chapters that demonstrate information transfer within canonical systems. You can also study real-world applications in diverse fields such as neuroscience and finance. This resource is designed for those looking to understand how information moves through complex, interconnected environments.

Key Features

Provides a thorough introduction to transfer entropy as a metric for analyzing measurements in complex systems.

Includes essential statistical background to ensure readers have the necessary foundation to understand information theory.

Explains the direct relationship between complexity and the flow of information within a system.

Covers practical applications of information transfer in specific fields like finance and neuroscience.

Demonstrates how to apply these concepts to canonical systems through dedicated instructional chapters.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
24 November 2016
Listed Since
21 June 2016

Barcode

No barcode data available

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