Language:
English
繁體中文
Help
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
An Introduction to Transfer Entropy ...
~
SpringerLink (Online service)
An Introduction to Transfer Entropy = Information Flow in Complex Systems /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
An Introduction to Transfer Entropy/ by Terry Bossomaier, Lionel Barnett, Michael Harré, Joseph T. Lizier.
Reminder of title:
Information Flow in Complex Systems /
Author:
Bossomaier, Terry.
other author:
Barnett, Lionel.
Description:
XXIX, 190 p. 24 illus., 21 illus. in color.online resource. :
Contained By:
Springer Nature eBook
Subject:
Artificial intelligence. -
Online resource:
https://doi.org/10.1007/978-3-319-43222-9
ISBN:
9783319432229
An Introduction to Transfer Entropy = Information Flow in Complex Systems /
Bossomaier, Terry.
An Introduction to Transfer Entropy
Information Flow in Complex Systems /[electronic resource] :by Terry Bossomaier, Lionel Barnett, Michael Harré, Joseph T. Lizier. - 1st ed. 2016. - XXIX, 190 p. 24 illus., 21 illus. in color.online resource.
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:
559380
Artificial intelligence.
LC Class. No.: Q334-342
Dewey Class. No.: 006.3
An Introduction to Transfer Entropy = Information Flow in Complex Systems /
LDR
:02419nam a22003975i 4500
001
979608
003
DE-He213
005
20200701140747.0
007
cr nn 008mamaa
008
201211s2016 gw | s |||| 0|eng d
020
$a
9783319432229
$9
978-3-319-43222-9
024
7
$a
10.1007/978-3-319-43222-9
$2
doi
035
$a
978-3-319-43222-9
050
4
$a
Q334-342
072
7
$a
UYQ
$2
bicssc
072
7
$a
COM004000
$2
bisacsh
072
7
$a
UYQ
$2
thema
082
0 4
$a
006.3
$2
23
100
1
$a
Bossomaier, Terry.
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
1115361
245
1 3
$a
An Introduction to Transfer Entropy
$h
[electronic resource] :
$b
Information Flow in Complex Systems /
$c
by Terry Bossomaier, Lionel Barnett, Michael Harré, Joseph T. Lizier.
250
$a
1st ed. 2016.
264
1
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2016.
300
$a
XXIX, 190 p. 24 illus., 21 illus. in color.
$b
online resource.
336
$a
text
$b
txt
$2
rdacontent
337
$a
computer
$b
c
$2
rdamedia
338
$a
online resource
$b
cr
$2
rdacarrier
347
$a
text file
$b
PDF
$2
rda
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.
650
0
$a
Artificial intelligence.
$3
559380
650
0
$a
Applied mathematics.
$3
1069907
650
0
$a
Engineering mathematics.
$3
562757
650
0
$a
Statistical physics.
$3
528048
650
0
$a
Dynamical systems.
$3
1249739
650
0
$a
Neurosciences.
$3
593561
650
0
$a
Computers.
$3
565115
650
1 4
$a
Artificial Intelligence.
$3
646849
650
2 4
$a
Mathematical and Computational Engineering.
$3
1139415
650
2 4
$a
Complex Systems.
$3
888664
650
2 4
$a
Theory of Computation.
$3
669322
650
2 4
$a
Statistical Physics and Dynamical Systems.
$3
1114011
700
1
$a
Barnett, Lionel.
$e
author.
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
1272668
700
1
$a
Harré, Michael.
$e
author.
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
1272669
700
1
$a
Lizier, Joseph T.
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
1024997
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer Nature eBook
776
0 8
$i
Printed edition:
$z
9783319432212
776
0 8
$i
Printed edition:
$z
9783319432236
776
0 8
$i
Printed edition:
$z
9783319827612
856
4 0
$u
https://doi.org/10.1007/978-3-319-43222-9
912
$a
ZDB-2-SCS
912
$a
ZDB-2-SXCS
950
$a
Computer Science (SpringerNature-11645)
950
$a
Computer Science (R0) (SpringerNature-43710)
based on 0 review(s)
Multimedia
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login