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In this paper we propose a flexible model to describe nonlinearities and long-range dependence in time series dynamics.
A multiple-equation system known as a vector autoregression is proposed for characterizing the time series dynamics of wind.
Our methodology is armed with an advanced tool to detect the presence of multiple scales in time series dynamics, such as that resulting from brain activity.
Evidently, the methods for time series dynamics are still in their infancy.
Thus, rather than system dimension, the real limitation of the optimization algorithm is the time series dynamics.
These three data sets allowed us to assess the ability of the algorithm to deal with different time series dynamics.
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A more interesting set of questions has to do with time-series dynamics: Why is it that sometimes, things get out of balance, and the existing set of rules is less successful in containing risk-taking?
Findings from this study may permit better understanding of the underlying time-series dynamics of TB risk among different demographic groups and review TB control measures at the national scale in Singapore.
However, pointing to previous research that found that the series "romanticises dynamics that are consistent with violent romantic relationships", they say it is "concerning" that a "sizable portion" of women in their sample found the story romantic.
The analysis and synthesis problems for a series of dynamics systems with sector nonlinearities has been investigated in [17, 32].
The response of the second control method is a brand new series of dynamics, including fixed points, periodic orbits, and a distorted attractor, which are not the originally embedded orbits.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com