Maximum entropy principle in recurrence plot analysis on stochastic and chaotic systems-Reference-Cited by-同舟云学术

Maximum entropy principle in recurrence plot analysis on stochastic and chaotic systems

Published:2020-04 Issue:4 Volume:30 Page:043123
ISSN:1054-1500
Container-title:Chaos: An Interdisciplinary Journal of Nonlinear Science
language:en
Short-container-title:Chaos

Author:

Prado T. L.¹^ORCID,Corso G.²^ORCID,dos Santos Lima G. Z.²³^ORCID,Budzinski R. C.¹^ORCID,Boaretto B. R. R.¹^ORCID,Ferrari F. A. S.⁴,Macau E. E. N.⁵⁶^ORCID,Lopes S. R.¹^ORCID

Affiliation:

1. Departamento de Física, Universidade Federal do Paraná, Curitiba 81531-980, Brazil

2. Departamento de Biofísica e Farmacologia, Universidade Federal do Rio Grande do Norte, Natal 59078-970, Brazil

3. Escola de Ciências e Tecnologia, Universidade Federal do Rio Grande do Norte, Natal 59078-970, Brazil

4. Instituto de Engenharia, Ciência e Tecnologia, Universidade Federal dos Vales do Jequitinhonha e Mucuri, Janaúba 39447-790, Brazil

5. Laboratório Associado de Computação e Matemática Aplicada, Instituto Nacional de Pesquisas Espaciais, São José dos Campos 12227-010, Brazil

6. Instituto de Ciência e Tecnologia, Universidade Federal de São Paulo, São Jose Dos Campos 12231-280, Brazil

Funder

Shell Brasil & ANP

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Fundação de Amparo à Pesquisa do Estado de São Paulo

Publisher

AIP Publishing

Subject

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

Link

http://aip.scitation.org/doi/pdf/10.1063/1.5125921

Reference36 articles.

1. Information Theory and Statistical Mechanics

2. Information Theory and Statistical Mechanics. II

3. Maximum entropy modeling of species geographic distributions

4. A Maximum Entropy Model Applied to Spatial and Temporal Correlations from Cortical Networks In Vitro

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