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Statistical Causality from a Decision-Theoretic Perspective

机译:基于决策理论的统计因果关系

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摘要

We present an overview of the decision-theoretic framework of statistical causality, which is well suited for formulating and solving problems of determining the effects of applied causes. The approach is described in detail, and it is related to andcontrasted with other current formulations, such as structural equation models and potential responses. Topics and applications covered include confounding, the effect of treatment on the treated, instrumental variables, and dynamic treatment strategies.
机译:我们对统计因果关系的决策理论框架进行了概述,该框架非常适合于制定和解决确定应用原因影响的问题。详细介绍了该方法,该方法与其他当前公式(例如结构方程模型和势能响应)有关,并与之形成对照。涵盖的主题和应用包括混淆,治疗对所治疗的影响,工具变量和动态治疗策略。

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