:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	Ying, Andrew
Format:	Preprint
Published:	2023
Subjects:	Statistics Theory
Online Access:	https://arxiv.org/abs/2302.06739
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Optimal Nuisance Function Tuning for Estimating a Doubly Robust Functional under Proportional Asymptotics
by: McGrath, Sean, et al.
Published: (2025)

Nuisance Function Tuning and Sample Splitting for Optimally Estimating a Doubly Robust Functional
by: McGrath, Sean, et al.
Published: (2022)

GMM with Many Weak Moment Conditions and Nuisance Parameters: General Theory and Applications to Causal Inference
by: Wang, Rui, et al.
Published: (2025)

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

Direct Doubly Robust Estimation of Conditional Quantile Contrasts
by: Givens, Josh, et al.
Published: (2026)

Uniform Asymptotic Theory for Local Likelihood Estimation of Covariate-Dependent Copula Parameters
by: Muia, Mathias Nthiani
Published: (2026)

Information Geometry and Asymptotic Theory for SMML Estimators
by: Makalic, Enes, et al.
Published: (2026)

Non-Asymptotic Analysis of Classical Spectrum Estimators with $L$-mixing Time-series Data
by: Zheng, Yuping, et al.
Published: (2024)

Method-of-Moments Inference for GLMs and Doubly Robust Functionals under Proportional Asymptotics
by: Chen, Xingyu, et al.
Published: (2024)

Conditional Distributional Treatment Effects: Doubly Robust Estimation and Testing
by: Jain, Saksham, et al.
Published: (2026)

Doubly Robust Estimation with Stabilized Weights for Binary Proximal Outcomes in Micro-Randomized Trials
by: Cha, Jinho, et al.
Published: (2025)

A Note on Doubly Robust Estimator in Regression Discontinuity Designs
by: Kato, Masahiro
Published: (2024)

Two New Families of Local Asymptotically Minimax Lower Bounds in Parameter Estimation
by: Merhav, Neri
Published: (2024)

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

Doubly Robust Interval Estimation for Optimal Policy Evaluation in Online Learning
by: Shen, Ye, et al.
Published: (2021)

Doubly Robust and Efficient Calibration of Prediction Sets for Right-Censored Time-to-Event Outcomes
by: Farina, Rebecca, et al.
Published: (2025)

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

Deepening the Understanding of Double Robustness Geometrically
by: Ying, Andrew
Published: (2024)

Automatic Doubly Robust Forests
by: Chen, Zhaomeng, et al.
Published: (2024)

Non-Asymptotic Analysis of Classical Spectrum Estimators for $L$-mixing Time-series Data with Unknown Means
by: Zheng, Yuping, et al.
Published: (2025)

Asymptotic Theory for Estimation of the Husler-Reiss Distribution via Block Maxima Method
by: Flury, Hank, et al.
Published: (2024)

Bayesian Semiparametric Causal Inference: Targeted Doubly Robust Estimation of Treatment Effects
by: Sert, Gözde, et al.
Published: (2025)

Exact Asymptotic Estimation of Unknown Parameters of Perturbed LRE with Application to State Observation
by: Glushchenko, Anton, et al.
Published: (2023)

On Asymptotic Analysis of the Two-Stage Approach: Towards Data-Driven Parameter Estimation
by: Lakshminarayanan, Braghadeesh, et al.
Published: (2025)

A Tutorial on Doubly Robust Learning for Causal Inference
by: Hlynsson, Hlynur Davíð
Published: (2024)

Adaptive Penalized Doubly Robust Regression for Longitudinal Data
by: Wang, Yuyao, et al.
Published: (2026)

Nuisance parameters and elliptically symmetric distributions: a geometric approach to parametric and semiparametric efficiency
by: Fortunati, Stefano, et al.
Published: (2025)

Asymptotic Normality of the Conditional Value-at-Risk based Pickands Estimator
by: Li, Yizhou, et al.
Published: (2024)

How Much Weak Overlap Can Doubly Robust T-Statistics Handle?
by: Dorn, Jacob
Published: (2025)

Asymptotically Minimax Robust Likelihood Ratio Test
by: Gül, Gökhan
Published: (2026)

Local Polynomial Estimation of Time-Varying Parameters in Nonlinear Models
by: Kristensen, Dennis, et al.
Published: (2019)

Towards an Asymptotic Efficiency Theory on Regular Parameter Manifolds
by: Sun, Lvfang, et al.
Published: (2025)

Robust Regression under Adversarial Contamination: Theory and Algorithms for the Welsch Estimator
by: Hammouda, Ilyes, et al.
Published: (2024)

Asymptotic Theory for Linear Functionals of Kernel Ridge Regression
by: Tuo, Rui, et al.
Published: (2024)

Asymptotics for parametric martingale posteriors
by: Fong, Edwin, et al.
Published: (2024)

From Asymptotic to Finite-Sample Minimax Robust Hypothesis Testing
by: Gül, Gökhan
Published: (2026)

Asymptotic Distribution of Robust Effect Size Index
by: Zhang, Xinyu, et al.
Published: (2026)

Optimal Treatment Rules under Missing Predictive Covariates: A Covariate-Balancing Doubly Robust Approach
by: Zhang, Yue, et al.
Published: (2025)

Doubly-Unlinked Regression for Dependent Data
by: Burman, Anik, et al.
Published: (2026)

Cost-optimal Sequential Testing via Doubly Robust Q-learning
by: Zhou, Doudou, et al.
Published: (2026)