From the 1 of 5 linked papers with an AI index.
5 papers
On regression with estimated covariates and conditional effects given the propensity score
Jiaqi Wu, Matteo Bonvini, Edward H. Kennedy +2
The paper studies how to estimate a nonparametric regression when some covariates are themselves estimated, proposing debiased influence‑function and bias‑corrected plug‑in methods…
Fast convergence rates for dose-response estimation
Matteo Bonvini, Edward H. Kennedy
We consider the problem of estimating a dose-response curve. Continuous treatments arise often in practice, e.g. in the form of time spent on an operation, distance traveled to a l…
Perturbed Double Machine Learning: Nonstandard Inference Beyond the Parametric Length
Mengchu Zheng, Matteo Bonvini, Zijian Guo
We study inference on a low-dimensional functional in the presence of infinite-dimensional nuisance parameters. Classical inferential methods are typically based on Wald inter…
Semiparametric sensitivity analysis: unmeasured confounding in observational studies
Razieh Nabi, Matteo Bonvini, Edward H. Kennedy +3
Establishing cause-effect relationships from observational data often relies on untestable assumptions. It is crucial to know whether, and to what extent, the conclusions drawn fro…
Doubly-robust inference and optimality in structure-agnostic models with smoothness
Matteo Bonvini, Edward H. Kennedy, Oliver Dukes +1
We study the problem of constructing an estimator of the average treatment effect (ATE) with observational data. The celebrated doubly-robust, augmented-IPW (AIPW) estimator genera…