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An introduction to transfer entropy ...

Bossomaier, Terry.

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An introduction to transfer entropy = information flow in complex systems /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	An introduction to transfer entropy/ by Terry Bossomaier ... [et al.].
其他題名:	information flow in complex systems /
其他作者:	Bossomaier, Terry.
出版者:	Cham :Springer International Publishing : : 2016.,
面頁冊數:	xxix, 190 p. :ill., digital ;24 cm.
內容註:	Introduction -- Statistical Preliminaries -- Information Theory -- Transfer Entropy -- Information Transfer in Canonical Systems -- Information Transfer in Financial Markets -- Miscellaneous Applications of Transfer Entropy -- Concluding Remarks.
Contained By:	Springer eBooks
標題:	Information theory. -
電子資源:	http://dx.doi.org/10.1007/978-3-319-43222-9
ISBN:	9783319432229

An introduction to transfer entropy = information flow in complex systems /
An introduction to transfer entropyinformation flow in complex systems /[electronic resource] :by Terry Bossomaier ... [et al.]. - Cham :Springer International Publishing :2016. - xxix, 190 p. :ill., digital ;24 cm.

Introduction -- Statistical Preliminaries -- Information Theory -- Transfer Entropy -- Information Transfer in Canonical Systems -- Information Transfer in Financial Markets -- Miscellaneous Applications of Transfer Entropy -- Concluding Remarks.

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.

ISBN: 9783319432229

Standard No.: 10.1007/978-3-319-43222-9doiSubjects--Topical Terms:

542527
Information theory.

LC Class. No.: Q360

Dewey Class. No.: 003.54

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505 0 $a Introduction -- Statistical Preliminaries -- Information Theory -- Transfer Entropy -- Information Transfer in Canonical Systems -- Information Transfer in Financial Markets -- Miscellaneous Applications of Transfer Entropy -- Concluding Remarks.
520 $a 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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