Bayesian model averaging 贝叶斯模型平均
averaging model 平均模型
state-space averaging model 状态空间平均模型
small-signal averaging model 小信号平均模型
source period averaging model 电源周期平均模型
an averaging linear model 平均线性模型
generalized state space averaging model 广义状态空间平均模型
Abstract: Model averaging is a frontier topic in Statistics and Econometrics. It has wide applications in many fields like Economics, Finance, Biology and Medicine.
内容提要：模型平均方法是当代统计学和计量经济学界研究的国际前沿问题，在经济、金融、生物、医学等领域有着广泛的应用前景。
Bayesian model averaging was used to combine the results across models and to provide a measure of uncertainty that reflects the choice of model and the sampling variability.
贝叶斯模型平均法用来综合各模型的结果并提供一种反映模型选择和抽样变异性的不确定性度量。
This paper presents the state space averaging model of a PWM reversible rectifier, on the basis of which a family of valuable formulas and conclusions are derived with theoretical analyses.
本文提出了一种PWM可逆速流器的状态空间平均模型，并在此基础上，经过理论分析得出了一系列有价值的公式与结论。
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