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Augmented minimax linear estimation (Q2073703)

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Language	Label	Description	Also known as
English	Augmented minimax linear estimation	scientific article

Statements

scholarly article

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Augmented minimax linear estimation (English)

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zbMATH Open document ID

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10.1214/21-AOS2080

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David A. Hirshberg

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The Annals of Statistics

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publication date

7 February 2022

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full work available at URL

https://arxiv.org/abs/1712.00038

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Mathematics Subject Classification ID

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zbMATH DE Number

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zbMATH Keywords

causal inference

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convex optimization

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semiparametric efficiency

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describes a project that uses

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MaRDI profile type

MaRDI publication profile

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Optimal Inference in a Class of Regression Models

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Finite‐Sample Optimal Estimation and Inference on Average Treatment Effects Under Unconfoundedness

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Approximate Residual Balancing: Debiased Inference of Average Treatment Effects in High Dimensions

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Generalized random forests

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A note on nonparametric estimation of linear functionals.

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The Dantzig selector: statistical estimation when \(p\) is much larger than \(n\). (With discussions and rejoinder).

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Some results on generalized difference estimation and generalized regression estimation for finite populations

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Globally Efficient Non-Parametric Inference of Average Treatment Effects by Empirical Balancing Calibration Weighting

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Semiparametric efficiency in GMM models with auxiliary data

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Double/debiased machine learning for treatment and structural parameters

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Dealing with limited overlap in estimation of average treatment effects

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Overlap in observational studies with high-dimensional covariates

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Statistical estimation and optimal recovery

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Geometrizing rates of convergence. II

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Inverse Probability Tilting for Moment Condition Models with Missing Data

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Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score

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On Nonparametric Estimation of the Value of a Linear Functional in Gaussian White Noise

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Covariate Balancing Propensity Score

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The role of the propensity score in estimating dose-response functions

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Causal Inference for Statistics, Social, and Biomedical Sciences

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Confidence Intervals and Hypothesis Testing for High-Dimensional Regression

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Nonparametric estimation by convex programming

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Generalized Optimal Matching Methods for Causal Inference

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Regularization and the small-ball method. I: Sparse recovery

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Balancing Covariates via Propensity Score Weighting

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Nonparametric estimation via empirical risk minimization

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The Asymptotic Variance of Semiparametric Estimators

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Quasi-oracle estimation of heterogeneous treatment effects

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Robust estimation of causal effects via a high-dimensional covariate balancing propensity score

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Convex Optimization in Normed Spaces

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Semiparametric Estimation of Index Coefficients

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Semiparametric Efficiency in Multivariate Regression Models with Missing Data

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Estimation of Regression Coefficients When Some Regressors Are Not Always Observed

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Comment: Performance of double-robust estimators when ``inverse probability'' weights are highly variable

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Semiparametric minimax rates

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Minimax estimation of a functional on a structured high-dimensional model

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Root-N-Consistent Semiparametric Regression

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The central role of the propensity score in observational studies for causal effects

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On asymptotically efficient estimation in semiparametric models

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Consistent nonparametric regression. Discussion

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On differentiable functionals

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Weak convergence and empirical processes. With applications to statistics

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Minimal dispersion approximately balancing weights: asymptotic properties and practical considerations

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Kernel-based covariate functional balancing for observational studies

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Confidence Intervals for Low Dimensional Parameters in High Dimensional Linear Models

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Covariate balancing propensity score by tailored loss functions

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Stable Weights that Balance Covariates for Estimation With Incomplete Outcome Data

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Mathematics(1 entry)

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