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Journal ArticleDOI

Improved Surrogate Data for Nonlinearity Tests.

Thomas Schreiber, +1 more
- 22 Jul 1996 - 
- Vol. 77, Iss: 4, pp 635-638
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TLDR
It is shown that nonlinear rescalings of a Gaussian linear stochastic process cannot be accounted for by a simple amplitude adjustment of the surrogates which leads to spurious detection of nonlinearity.
Abstract
Current tests for nonlinearity compare a time series to the null hypothesis of a Gaussian linear stochastic process. For this restricted null assumption, random surrogates can be constructed which are constrained by the linear properties of the data. We propose a more general null hypothesis allowing for nonlinear rescalings of a Gaussian linear process. We show that such rescalings cannot be accounted for by a simple amplitude adjustment of the surrogates which leads to spurious detection of nonlinearity. An iterative algorithm is proposed to make appropriate surrogates which have the same autocorrelations as the data and the same probability distribution.

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Citations
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Journal ArticleDOI

Visualization of the controller states of an autogenous mill from time series data

TL;DR: In this paper, the operational variables of an industrial autogenous mill were embedded in a low-dimensional phase space to facilitate visualization of the dynamic behavior of the mill by using a multivariate extension of the method of delay coordinates used in nonlinear time series analysis.
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Detecting nonlinear dynamics using BDS test and surrogate data in financial time series

TL;DR: The Whitney immersion theorem ideas are presented and generalization of Sauer for fractal sets to rebuild the asymptotic behavior of the phenomena and to investigate evidence of nonlinear dynamics in the reproduced dynamics using the Brock, Dechert, Scheinkman test (BDS).
Posted ContentDOI

Multifractal signatures of perceptual processing on anatomical sleeves of the human body

TL;DR: The results suggest that the accuracy of perception via dynamic touch hinges on specific flowing patterns of multifractal fluctuations that people wear on their anatomical sleeves, and that these patterns influence the information available to mechanoreceptors.
References
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Book

Time Series Prediction: Forecasting The Future And Understanding The Past

TL;DR: By reading time series prediction forecasting the future and understanding the past, you can take more advantages with limited budget.
Book

Nonlinear Dynamics, Chaos, and Instability: Statistical Theory and Economic Evidence

TL;DR: In this paper, the changing structure of stock returns nonlinearity in foreign exchange summary, relation to other work, and future horizons are discussed, as well as the size and distribution of the BDS statistic quantiles.
Journal ArticleDOI

Constrained-realization Monte-Carlo method for hypothesis testing

TL;DR: The typical-realization approach, on the other hand, does not share this requirement, and can provide an accurate and powerful test without having to sacrifice flexibility in the choice of discriminating statistic, and is found to depend on whether or not the discriminating statistic is pivotal.
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