Cover Image

Doubly-robust inference and optimality in structure-agnostic models with smoothness

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Bonvini, Matteo, Kennedy, Edward H., Dukes, Oliver, Balakrishnan, Sivaraman
Format:	Preprint
Published:	2024
Subjects:	Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Fast convergence rates for dose-response estimation
by: Bonvini, Matteo, et al.
Published: (2022)

Double Cross-fit Doubly Robust Estimators: Beyond Series Regression
by: McClean, Alec, et al.
Published: (2024)

On the Equivalence between Neyman Orthogonality and Pathwise Differentiability
by: Chen, Yuxi, et al.
Published: (2026)

The Fundamental Limits of Structure-Agnostic Functional Estimation
by: Balakrishnan, Sivaraman, et al.
Published: (2023)

Doubly robust inference with censoring unbiased transformations
by: Sandqvist, Oliver Lunding
Published: (2024)

Stochastic interventions, sensitivity analysis, and optimal transport
by: Levis, Alexander W., et al.
Published: (2024)

Causal Inference with High-dimensional Discrete Covariates
by: Zeng, Zhenghao, et al.
Published: (2024)

Causal Effect Estimation after Propensity Score Trimming with Continuous Treatments
by: Branson, Zach, et al.
Published: (2023)

On Doubly Robust Inference for Double Machine Learning in Semiparametric Regression
by: Dukes, Oliver, et al.
Published: (2021)

Semiparametric sensitivity analysis: unmeasured confounding in observational studies
by: Nabi, Razieh, et al.
Published: (2021)

Doubly robust inference via calibration
by: van der Laan, Lars, et al.
Published: (2024)

Doubly-robust and heteroscedasticity-aware sample trimming for causal inference
by: Khan, Samir, et al.
Published: (2022)

Perturbed Double Machine Learning: Nonstandard Inference Beyond the Parametric Length
by: Zheng, Mengchu, et al.
Published: (2025)

Doubly robust estimation and inference for a log-concave counterfactual density
by: Ham, Daeyoung, et al.
Published: (2024)

Doubly robust estimation and sensitivity analysis for marginal structural quantile models
by: Cheng, Chao, et al.
Published: (2022)

Robust Universal Inference For Misspecified Models
by: Park, Beomjo, et al.
Published: (2023)

Stability Bounds for Smooth Optimal Transport Maps and their Statistical Implications
by: Balakrishnan, Sivaraman, et al.
Published: (2025)

Doubly Robust Machine Learning for Population Size Estimation with Missing Covariates: Application to Gaza Conflict Mortality
by: Rubio, Mateo Dulce, et al.
Published: (2026)

Testing Random Effects for Binomial Data
by: Kania, Lucas, et al.
Published: (2025)

Doubly-Robust Functional Average Treatment Effect Estimation
by: Testa, Lorenzo, et al.
Published: (2025)

Doubly robust estimation of optimal treatment regimes for survival data using an instrumental variable
by: Xia, Junwen, et al.
Published: (2022)

Doubly robust causal inference through penalized bias-reduced estimation: combining non-probability samples with designed surveys
by: Du, Jiacong, et al.
Published: (2024)

Distribution-uniform anytime-valid sequential inference and the Robbins-Siegmund distributions
by: Waudby-Smith, Ian, et al.
Published: (2023)

Testing Imprecise Hypotheses
by: Kania, Lucas, et al.
Published: (2025)

Using causal diagrams to assess parallel trends in difference-in-differences studies
by: Renson, Audrey, et al.
Published: (2025)

Statistical Inference for Optimal Transport Maps: Recent Advances and Perspectives
by: Balakrishnan, Sivaraman, et al.
Published: (2025)

Doubly robust and computationally efficient high-dimensional variable selection
by: Chakraborty, Abhinav, et al.
Published: (2024)

Doubly robust average treatment effect estimation for survival data
by: Lee, Byeonghee, et al.
Published: (2025)

On robust Bayesian causal inference
by: Alexopoulos, Angelos, et al.
Published: (2025)

Conformal causal inference for cluster randomized trials: model-robust inference without asymptotic approximations
by: Wang, Bingkai, et al.
Published: (2024)

Discussion of "Causal and counterfactual views of missing data models" by Razieh Nabi, Rohit Bhattacharya, Ilya Shpitser, & James M. Robins
by: Levis, Alex W., et al.
Published: (2025)

Calibrated sensitivity models
by: McClean, Alec, et al.
Published: (2024)

Structure-agnostic Optimality of Doubly Robust Learning for Treatment Effect Estimation
by: Jin, Jikai, et al.
Published: (2024)

Doubly robust estimation with functional outcomes missing at random
by: Liu, Xijia, et al.
Published: (2024)

Semi-Supervised U-statistics
by: Kim, Ilmun, et al.
Published: (2024)

Tunable robustness in power-law inference
by: Lin, Qianying, et al.
Published: (2023)

How to achieve model-robust inference in stepped wedge trials with model-based methods?
by: Wang, Bingkai, et al.
Published: (2024)

Doubly robust estimation of marginal cumulative incidence curves for competing risk analysis
by: van Hage, Patrick, et al.
Published: (2024)

Order Dependence in Regression by Composition: Discussion on "Regression by Composition'' by Farewell, Daniel, Stensrud, and Huitfeldt
by: Dong, Mei, et al.
Published: (2026)

Doubly robust identification of treatment effects from multiple environments
by: De Bartolomeis, Piersilvio, et al.
Published: (2025)