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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.
These models are built on the idea that the complex protein dynamics in a large number of degrees of freedom could be reduced to a single time series representing dynamics within the set of few conformational states.
A recursive algorithm for computing the direct scattering transform (DST) of a discrete space or time series whose dynamics is described approximately by the infinite-line Korteweg-de Vries (KdV) equation is tested for numerical accuracy by considering several example problems for which the exact DST spectrum is known.
They include fully developed turbulence [ 16], stock market time series, heartbeat dynamics [ 17], human gait, and natural luminosity time series, among others.
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time series variations
time series trends
time series patterns
time series specifications
time series fluctuations
time series relationships
temporal dynamics
time series dynamic
time scale dynamics
time course dynamics
time series models
time replicator dynamics
time series methods
time series adj2
time series data
historical dynamics
timing dynamics
chronological dynamics
time dynamics
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