Bayes Estimation of Causal Effect for a Counterfactural Model
Zheng Zhong-guo · Journal of Mathematical Research and Exposition · 2004
This paper presents the Bayes estimation and empirical Bayes estimation of causal effects in a counterfactual model. It also gives three kinds of prior distribution of the assumptions of replaceability. The experiment shows that empirical Bayes estimation is better than other estimations when not knowing which assumption is true.