However, there are a few on multivariate time series mining, since the data structure of multivariate time series is more complex than that of univariate time series.
然而多元时间序列的数据结构比一元时间序列更复杂，现有的理论和方法仍不够完善。
Based on the prediction method of univariate time series, and according to the proper selection of dimension and delay time, the time series can be predicted precisely.
根据单变量时间序列的混沌预测方法，只要嵌入维数和延迟时间选择得合理，便能进行精确的预测。
The course is an introduction to univariate and multivariate time series models.
本课程是对于单变量与多变量时间序列模型的一个介绍。
The course is an introduction to univariate and multivariate time series models.
本课程是对于单变量与多变量时间序列模型的一个介绍。
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