TY  - BOOK
AU  - Bossomaier,Terry
AU  - Barnett,Lionel
AU  - Harré,Michael
AU  - Lizier,Joseph T.
ED  - SpringerLink (Online service)
TI  - An Introduction to Transfer Entropy: Information Flow in Complex Systems 
SN  - 9783319432229
AV  - Q334-342 
U1  - 006.3 23
PY  - 2016///
CY  - Cham
PB  - Springer International Publishing, Imprint: Springer
KW  - Computer science
KW  - Neurosciences
KW  - Computers
KW  - Artificial intelligence
KW  - System theory
KW  - Applied mathematics
KW  - Engineering mathematics
KW  - Computer Science
KW  - Artificial Intelligence (incl. Robotics)
KW  - Appl.Mathematics/Computational Methods of Engineering
KW  - Complex Systems
KW  - Theory of Computation
KW  - Statistical Physics and Dynamical Systems
N1  - Introduction -- Statistical Preliminaries -- Information Theory -- Transfer Entropy -- Information Transfer in Canonical Systems -- Information Transfer in Financial Markets -- Miscellaneous Applications of Transfer Entropy -- Concluding Remarks
N2  - 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
UR  - http://148.231.10.114:2048/login?url=http://dx.doi.org/10.1007/978-3-319-43222-9
ER  -