最后给出了用于时间序列分析的动态贝叶斯网络的实例。

In the last, we give an example of dynamical Bayesian networks for time series data analysis.

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最后，对长记忆时间序列arfima模型进行了贝叶斯分析。

Finally, we give Bayesian analysis of the long memory time series ARFIMA model.

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最常使用的五个模型是石油期货价格、回归结构模型、时间序列分析、贝叶斯自回归模型和动态随机一般均衡图。

The five models used most often are oil futures prices, regression-based structural models, time-series analysis, Bayesian autoregressive models and dynamic stochastic general equilibrium graphs.

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