Application of joint permutations for predicting coupled time series

DOI10.1063/1.4824313zbMath1332.62336OpenAlexW1986718293WikidataQ38175480 ScholiaQ38175480MaRDI QIDQ2787880

Yoshito Hirata, Eduardo Paucar Bravo, Kazuyuki Aihara

Publication date: 4 March 2016

Published in: Chaos: An Interdisciplinary Journal of Nonlinear Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1063/1.4824313

Mathematics Subject Classification ID

Multivariate analysis (62H99) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Time series analysis of dynamical systems (37M10)

Related Items (1)

Approximating high-dimensional dynamics by barycentric coordinates with linear programming

Cites Work

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