Recognizing randomness in a time series
Author:
Publisher
Elsevier BV
Subject
Condensed Matter Physics,Statistical and Nonlinear Physics
Reference28 articles.
1. Nonlinear forecasting as a way of distinguishing chaos from measurement error in time series
2. Method to distinguish possible chaos from colored noise and to determine embedding parameters
3. Direct test for determinism in a time series
4. Coarse-grained embeddings of time series: random walks, Gaussian random processes, and deterministic chaos
5. Exceptional events as evidence for determinism
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