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足够的协变量和线性倾向分析

Sufficient covariates and linear propensity analysis
课程网址: http://videolectures.net/aistats2010_guo_scalp/  
主讲教师: Hui Guo
开课单位: 剑桥大学
开课时间: 2010-06-10
课程语种: 英语
中文简介:
在因果推理的决策理论框架内,我们研究了支持观测数据因果推理的充分协变量的性质及其约简的可能性。特别地,我们通过一个简单的模型来说明倾向变量的作用,并解释为什么这种减少通常不会提高(并且可能降低)估计效率。
课程简介: Working within the decision-theoretic framework for causal inference, we study the properties of "sufficient covariates", which support causal inference from observational data, and possibilities for their reduction. In particular we illustrate the role of a propensity variable by means of a simple model, and explain why such a reduction typically does not increase (and may reduce) estimation efficiency.
关 键 词: 线性分析; 协变量; 效率
课程来源: 视频讲座网
最后编审: 2019-12-19:lxf
阅读次数: 32