A double machine learning procedure estimates outer bounds for data-fusion estimands using only conditional means and variances, with proven asymptotic normality and semiparametric efficiency.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
stat.ME 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Semiparametric Inference for Partially Identifiable Data Fusion Estimands via Double Machine Learning
A double machine learning procedure estimates outer bounds for data-fusion estimands using only conditional means and variances, with proven asymptotic normality and semiparametric efficiency.