建立强可忽略处理分配条件下因果推断的结构回归模型，估计平均处理效应。
A structural regression model for causal inference is established to estimate the average treatment effect under strongly ignorable treatment assignment.
在向量自回归模型基础上，通过格兰杰因果检验对我国货币供给的内生性或外生性作了实证检验。
This paper, based on Granger causality test in a vector autoregressive process, empirically analyzed the money supply in China.
本文应用回归模型和因果引导关系模型检验了我国于1998年开始公布的CCI与宏观经济变量之间的动态影响关系。
Using regressive model and Granger-Causality model, we investigate the dynamic relationships between macro-economic variables and CCI in China, which was published every month from 1998.
回归分析是分析现象之间相关的具体形式，确定其因果关系，并用数学模型来表现其具体关系的一种方法。
Regression analysis is a method to analyze the specific form of the phenomena's relating, determine cause-and-effect relationship and express the specific relationship by mathematical models.
为解决信号处理中非因果自回归（AR）系统的自适应辨识问题，本文提出了一种利用倒谱进行AR系统辨识的新方法。
A new cepstrum based noncausal autoregressive (AR) system identification method is proposed to solve the problem of adaptive identification of noncausal AR system.
多平稳时间序列，“格兰其”成员因果律测试和自回归模式给的矢量。
For multiple stationary time series Granger causality tests and vector autoregressive models are presented.
在实际工作中，人们在采用回归模型解释因果变量间的相关关系时，经常会遇到自变量之间存在幂乘关系的情况。
In practical work, it is frequent that there is power relation among independent variables when the correlation between dependent variable and independent variables is explained by regression model.
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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