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math.ST2026
On Local Inference for Functionals of Ill-Posed Inverse Problems
Ellen Graham, Andrea Rotnitzky
We study inference for continuous linear functionals of solutions to ill-posed inverse problems, including Euclidean parameters arising in nonparametric instrumental variables, pro…
math.ST2025★ 1 cited
Source-Condition Analysis of Kernel Adversarial Estimators
Antonio Olivas-Martinez, Andrea Rotnitzky
In many applications, the target parameter depends on a nuisance function defined by a conditional moment restriction, whose estimation often leads to an ill-posed inverse problem.…
math.ST2024
Towards a Unified Theory for Semiparametric Data Fusion with Individual-Level Data
Ellen Graham, Marco Carone, Andrea Rotnitzky
We address the goal of conducting inference about a smooth finite-dimensional parameter by utilizing individual-level data from various independent sources. Recent advancements hav…