Rejoinder: On nearly assumption-free tests of nominal confidence
interval coverage for causal parameters estimated by machine learning
- CML
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.
View on arXivComments on this paper
