Regression modelQuasi-experimental / causal inference
贝叶斯合成控制法
贝叶斯合成控制法通过对无干预的供体单元进行加权组合来构建概率性反事实，从而估计干预对单一处理单元的因果效应。与经典合成控制法不同，它为合成权重设置了先验分布，从而在干预后的每个时间点上，为反事实轨迹和处理效应提供完整的后验不确定性区间。
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来源
- Brodersen, K. H., Gallusser, F., Koehler, J., Remy, N., & Scott, S. L. (2015). Inferring causal impact using Bayesian structural time-series models. Annals of Applied Statistics, 9(1), 247-274. DOI: 10.1214/14-AOAS788 ↗
- Abadie, A., Diamond, A., & Hainmueller, J. (2010). Synthetic control methods for comparative case studies: Estimating the effect of California's tobacco control program. Journal of the American Statistical Association, 105(490), 493-505. DOI: 10.1198/jasa.2009.ap08746 ↗
如何引用本页
ScholarGate. (2026, June 3). Bayesian Synthetic Control Method. ScholarGate. https://scholargate.app/zh/causal-inference/bayesian-synthetic-control-method
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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