Double/Debiased Machine Learning for Treatment and Structural Parameters
收藏NBER2017-07-01 更新2025-01-04 收录
下载链接：
https://www.nber.org/papers/w23564
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资源简介：
We revisit the classic semiparametric problem of inference on a low dimensional parameter _0 in the presence of high-dimensional nuisance parameters _0. We depart from the classical setting by allowing for _0 to be so high-dimensional that the traditional assumptions, such as Donsker properties,
提供机构：
美国国家经济研究局
创建时间：
2017-07-01
