Regression modelEconometrics / time series
贝叶斯向量误差修正模型 (Bayesian VECM)
贝叶斯 VECM 将经典的向量误差修正模型——该模型能够捕捉非平稳多元时间序列的短期动态和长期协整关系——与关于协整秩和系数矩阵的贝叶斯先验分布相结合。这使得能够进行原则性的不确定性量化、将经济理论作为先验纳入，以及在小样本中进行一致的推断。
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来源
- Kleibergen, F., & Paap, R. (2002). Priors, posteriors and Bayes factors for a Bayesian analysis of cointegration. Journal of Econometrics, 111(2), 223–249. DOI: 10.1016/s0304-4076(02)00105-7 ↗
- Villani, M. (2005). Bayesian reference analysis of cointegration. Econometric Theory, 21(2), 326–357. DOI: 10.1017/s026646660505019x ↗
如何引用本页
ScholarGate. (2026, June 3). Bayesian Vector Error Correction Model. ScholarGate. https://scholargate.app/zh/econometrics/bayesian-vecm
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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