A Bayesian nonparametric approach to reconstruction and prediction of random dynamical systems-Reference-Cited by-同舟云学术

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A Bayesian nonparametric approach to reconstruction and prediction of random dynamical systems

Published:2017-06 Issue:6 Volume:27 Page:063116
ISSN:1054-1500
Container-title:Chaos: An Interdisciplinary Journal of Nonlinear Science
language:en
Short-container-title:Chaos

Author:

Merkatas Christos¹,Kaloudis Konstantinos¹,Hatjispyros Spyridon J.¹

Affiliation:

1. Department of Mathematics, University of the Aegean, Karlovassi 83200, Greece

Funder

University of the Aegean (Aegean University)

Publisher

AIP Publishing

Subject

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

Link

http://aip.scitation.org/doi/pdf/10.1063/1.4990547

Reference44 articles.

1. Chaos in Dynamical Systems

2. Statistics, Probability and Chaos

3. Chaos, Fractals and Statistics

4. On the nature of turbulence

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3. A Bayesian nonparametric approach to the approximation of the global stable manifold;Chaos: An Interdisciplinary Journal of Nonlinear Science;2019-12

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