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Multivariate time series are common in experimental and real systems. According to the embedding theory, in the absence of observational noise only one time series should be needed to recover dynamics. However, for real data, the noise always exist. There may be large advantages in using more measurements. In this paper, we focus on the issue of using multivariate time series to model and predict...
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