Rejoinder: On nearly assumption-free tests of nominal confidence interval coverage for causal parameters estimated by machine learning
Methodology
2020-08-10 v1 Machine Learning
Abstract
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.
Keywords
Cite
@article{arxiv.2008.03288,
title = {Rejoinder: On nearly assumption-free tests of nominal confidence interval coverage for causal parameters estimated by machine learning},
author = {Lin Liu and Rajarshi Mukherjee and James M. Robins},
journal= {arXiv preprint arXiv:2008.03288},
year = {2020}
}