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Multiple recent neuroimaging studies have demonstrated that the human brain's function undergoes remarkable temporal dynamics. However, quantitative characterization and modeling of such functional dynamics have been rarely explored. To fill this gap, we presents a novel Bayesian connectivity change point model (BCCPM), to analyze the joint probabilities among the nodes of brain networks between different...
The exchange-rate time series is a dynamic non-linear system, whose characteristics cannot be reflected by neither the linear regression model nor the static neutral network. The Nonlinear Autoregressive with eXogenous input (NARX) includes the feedback of the network output, therefore can reflect the dynamic property of the system. This paper analyzed the chaotic property of the exchange-rate time...
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