论文标题
倾向分数建模：超越无干扰假设时的关键挑战
Propensity Score Modeling: Key Challenges When Moving Beyond the No-Interference Assumption
论文作者
论文摘要
本文为倾向得分提供了一些模型。在因果推断中，在不存在的因果推断中，非常关注一个最近流行但相对探索的设置。我们在干扰下阐述了倾向得分建模的一些关键挑战，并根据现有的混合效果模型提出了一些有希望的模型。
The paper presents some models for the propensity score. Considerable attention is given to a recently popular, but relatively under-explored setting in causal inference where the no-interference assumption does not hold. We lay out some key challenges in propensity score modeling under interference and present a few promising models based on existing works on mixed effects models.
