Successful network inference from time-series data using mutual information rate-Reference-Cited by-同舟云学术

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Successful network inference from time-series data using mutual information rate

Published:2016-04 Issue:4 Volume:26 Page:043102
ISSN:1054-1500
Container-title:Chaos: An Interdisciplinary Journal of Nonlinear Science
language:en
Short-container-title:Chaos

Author:

Bianco-Martinez E.¹,Rubido N.¹²^ORCID,Antonopoulos Ch. G.³^ORCID,Baptista M. S.¹^ORCID

Affiliation:

1. Institute for Complex Systems and Mathematical Biology, SUPA, University of Aberdeen, King's College, AB24 3UE Aberdeen, United Kingdom

2. Instituto de Física, Facultad de Ciencias, Universidad de la República, Iguá 4225, Montevideo 11200, Uruguay

3. Department of Mathematical Sciences, University of Essex, Wivenhoe Park, CO4 3SQ Colchester, United Kingdom

Funder

Engineering and Physical Sciences Research Council (EPSRC)

Publisher

AIP Publishing

Subject

Applied Mathematics,General Physics and Astronomy,Mathematical Physics,Statistical and Nonlinear Physics

Link

http://aip.scitation.org/doi/pdf/10.1063/1.4945420

Reference50 articles.

1. Dynamical Processes on Complex Networks

2. Exact detection of direct links in networks of interacting dynamical units

3. Inferring the connectivity of coupled oscillators from time-series statistical similarity analysis

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