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Regenerating time series from ordinal networks
Work
Year: 2017
Type: article
Abstract: Recently proposed ordinal networks not only afford novel methods of nonlinear time series analysis but also constitute stochastic approximations of the deterministic flow time series from which the ne... more
Cites: 25
Cited by: 46
Related to: 10
FWCI: 8.492
Citation percentile (by year/subfield): 97
Open Access status: green
Grant ID 140100203