论文标题

重新加入:通过机器学习估算的因果参数的名义置信区间覆盖范围的几乎无假设测试

Rejoinder: On nearly assumption-free tests of nominal confidence interval coverage for causal parameters estimated by machine learning

论文作者

Liu, Lin, Mukherjee, Rajarshi, Robins, James M.

论文摘要

这是肯尼迪,Balakrishnan和Wasserman在论文中的讨论的重新加入,“在统计科学上发表了有关机器学习估计的因果参数的名义置信区间覆盖范围的几乎无假设测试”。

This is the rejoinder to the discussion by Kennedy, Balakrishnan and Wasserman on the paper "On nearly assumption-free tests of nominal confidence interval coverage for causal parameters estimated by machine learning" published in Statistical Science.

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