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Semiparametric spatiotemporal variable coefficient regression model

机译:Semiparametric Spatiotemporal变系数回归模型

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摘要

In order to study the semi-parametric spatiotemporal variable coefficient regression model, firstly, the parametric and non-parametric models are introduced. Based on the spatiotemporal variable coefficient model and estimation method, a semi-parametric spatiotemporal variable coefficient model is established. According to the two-step estimation simulation experiment of semi-parametric space-time variable coefficient model, three groups of numerical experiments of semi-parametric spatiotemporal variable coefficient model are carried out. The experimental results show that the semi-parametric regression model has both the advantages of parametric model and non-parametric model, and the estimated value is very close to the real value. After combining the semi-parametric and time-varying coefficient regression model, the fitting effect of the model is better, and the estimation accuracy is obviously improved.
机译:为了研究半导体时空变量系数回归模型,首先,介绍了参数和非参数模型。基于时空变量系数模型和估计方法,建立了半导体时空变量系数模型。根据半参数空间变量系数模型的两步估计仿真实验,执行了三组半导体时空变量系数模型的数值实验。实验结果表明,半参数回归模型具有参数模型和非参数模型的优点,并且估计值非常接近实际值。结合半参数和时变系数回归模型后,模型的拟合效果更好,并且估计精度明显提高。

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