1992
DOI: 10.1103/physrevlett.68.427
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Direct test for determinism in a time series

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Cited by 364 publications
(168 citation statements)
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“…The two steps can be iterated several times (presently 10), whereby the resulting surrogates approach the original recording both in the spectrum as well as the distribution. As above, we have We used the method originally proposed by Kaplan and Glass [49], which is based on measuring average directional vectors in a coarse-grained phase space. The idea is that, in case of a deterministic solution, neighboring trajectories in a small portion of the phase space should all point in the same direction, i.e.…”
Section: Time Series Analysis Methods and Resultsmentioning
confidence: 99%
“…The two steps can be iterated several times (presently 10), whereby the resulting surrogates approach the original recording both in the spectrum as well as the distribution. As above, we have We used the method originally proposed by Kaplan and Glass [49], which is based on measuring average directional vectors in a coarse-grained phase space. The idea is that, in case of a deterministic solution, neighboring trajectories in a small portion of the phase space should all point in the same direction, i.e.…”
Section: Time Series Analysis Methods and Resultsmentioning
confidence: 99%
“…Kaplan & Glass (1992) developed a direct test for determinism in a time series. This method is based on the fact that the tangent of the trajectory of a deterministic system is a function of the region in the phase space.…”
Section: The Deterministic Test Of a Time Series·mentioning
confidence: 99%
“…As a first step, it is possible to estimate the determinism inherent in a given time series. Kaplan & Glass (1992) developed a direct test for determinism in a given time series. This article introduces this method for analyzing EEG and MEG and presents comparisons with other nonlinear measures such as the fractal dimension.…”
Section: Introductionmentioning
confidence: 99%
“…Two major difficulties for solving this issue are (i) chaos can be induced by noise [1][2][3][4][5][6][7][8], and (ii) standard Brownian motions may have a deterministic origin [8,9]. Although many methods have been proposed to distinguish chaos from noise [9][10][11][12][13][14][15][16][17][18][19][20][21][22][23][24][25][26][27], it is generally difficult to fully sort out the capabilities and limitations of a particular method.…”
Section: Introductionmentioning
confidence: 99%