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Bayes Estimation of Causal Effect for a Counterfactural Model
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作者 许静 郑忠国 《Journal of Mathematical Research and Exposition》 CSCD 北大核心 2004年第3期381-387,共7页
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... 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. 展开更多
关键词 Bayes estimation causal effect counterfactual model INTERVENTION re-placeability.
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