Simulated Continuous-Valued Time Series

该数据集包含了一系列连续值时间序列，这些序列是通过一个包含独立且相同噪声和周期性的三步生成过程产生的。此外，该数据集被用于验证PCMCI$_{\Omega}$算法，并在各种噪声类型上进行了实验。这是一组模拟数据，其任务是对非平稳时间序列进行因果发现。

This dataset comprises a collection of continuous-valued time series generated via a three-step generative process that integrates independent and identically distributed (i.i.d.) noise and periodic patterns. Moreover, this dataset is developed to validate the PCMCI$_{Omega}$ algorithm, and has been used in experiments across a range of noise types. As a simulated dataset, it is tailored for the task of causal discovery on non-stationary time series.