计算机科学家丹尼·希利斯(8)指出，计算，特别是网络计算，呈现了一个非线性的因果关系域。
Computer scientist Danny Hillis has noted that computation, particularly networked computation, exhibits a nonlinear causality field. He wrote.
要牢记的关于清晰度的最重要的是因果关系的非线性化。
One important thing to bear in mind about clarity is the highly nonlinear relationship between cause and effect.
同时由于时间序列的非线性，常规的线性向量自回归模型难以正确描述经济变量之间的因果关系。
At the same time, due to the non-linear condition of time sequence, conventional linear Vector Autoregressive model can hardly characterize the causality among economic variables correctly.
同时由于时间序列的非线性，常规的线性向量自回归模型难以正确描述经济变量之间的因果关系。
At the same time, due to the non-linear condition of time sequence, conventional linear Vector Autoregressive model can hardly characterize the causality among economic variables correctly.
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