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20162026
most citedAssumption-lean falsification tests of rate double-robustness of double-machine-learning estimators

2 citations · 3 across the 12 of their papers we have counts for

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stat.ME2020

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

Lin Liu, Rajarshi Mukherjee, James M. Robins

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 para…