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贝叶斯移动平均 (MA) 模型

贝叶斯 MA 模型在完全贝叶斯框架内估计移动平均时间序列模型,对 MA 参数和误差方差设置先验分布,并通过贝叶斯定理对其进行更新。这种方法可以得到模型参数的完整后验分布,并生成具有连贯不确定性量化的概率预测。

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来源

  1. West, M., & Harrison, J. (1997). Bayesian Forecasting and Dynamic Models (2nd ed.). Springer. ISBN: 978-0387947259
  2. Geweke, J., & Meese, R. (1981). Estimating regression models of finite but unknown order. International Economic Review, 22(1), 55–70. link

如何引用本页

ScholarGate. (2026, June 3). Bayesian Moving Average Model. ScholarGate. https://scholargate.app/zh/econometrics/bayesian-ma-model

Which method?

Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.

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ScholarGateBayesian MA model (Bayesian Moving Average Model). 于 2026-06-15 检索自 https://scholargate.app/zh/econometrics/bayesian-ma-model · 数据集: https://doi.org/10.5281/zenodo.20539026