Non-vacuity of improved covariate-adjusted variance
Non-vacuity of improved covariate-adjusted variance
Let , , and denote the variance quantities defined in the paper for the covariate-adjusted and unadjusted estimators. The data-generating process for which
and
is not vacuous.
This asserts that there are data-generating processes under which the relevant covariate-adjusted procedure has smaller variance than both the comparison variance and the variance of the unadjusted estimator. The claim supports the paper's motivation for higher-order covariate adjustment, although the supplied text does not establish whether such a data-generating process has been exhibited or whether the claim remains unresolved.
Sources & referencesView supporting material
Primary source
Sihui Zhao, Xinbo Wang, Lin Liu and Xin Zhang, “Covariate Adjustment in Randomized Experiments Motivated by Higher-Order Influence Functions”, arXiv:2411.08491 (2025).
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