Variance Inference Beyond the Sandwich for Asymptotically Linear Estimators with Second-Order Remainders
Fuente:
arXiv
Saved in:
| Main Authors: | Li, Lin, Wu, Pengcheng |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Refined Inference for Asymptotically Linear Estimators with Non-Negligible Second-Order Remainders
by: Li, Lin
Published: (2026)
by: Li, Lin
Published: (2026)
Sandwich Boosting for Accurate Estimation in Partially Linear Models for Grouped Data
by: Young, Elliot H., et al.
Published: (2023)
by: Young, Elliot H., et al.
Published: (2023)
Order-Induced Variance in the Moving-Range Sigma Estimator: A Total-Variance Decomposition
by: Karl, Andrew T.
Published: (2026)
by: Karl, Andrew T.
Published: (2026)
M-Variance Asymptotics and Uniqueness of Descriptors
by: Eltzner, Benjamin
Published: (2020)
by: Eltzner, Benjamin
Published: (2020)
Neyman Jackknife: Design-Based Variance Estimation for Causal Inference under Interference
by: Park, Bryan, et al.
Published: (2026)
by: Park, Bryan, et al.
Published: (2026)
Linear Model Estimators and Consistency under an Infill Asymptotic Domain
by: Natoli, Cory W., et al.
Published: (2024)
by: Natoli, Cory W., et al.
Published: (2024)
Asymptotic Uncertainty in the Estimation of Frequency Domain Causal Effects for Linear Processes
by: Reiter, Nicolas-Domenic, et al.
Published: (2024)
by: Reiter, Nicolas-Domenic, et al.
Published: (2024)
Variance Estimation for Weighted Average Treatment Effects
by: Li, Huiyue, et al.
Published: (2025)
by: Li, Huiyue, et al.
Published: (2025)
Asymptotic Anytime-Valid Inference for U-statistics
by: Cai, Leheng, et al.
Published: (2026)
by: Cai, Leheng, et al.
Published: (2026)
Asymptotic Inference for Constrained Regression
by: Sankaranarayanan, Madhav, et al.
Published: (2025)
by: Sankaranarayanan, Madhav, et al.
Published: (2025)
Estimation and Inference in Ultrahigh Dimensional Partially Linear Single-Index Models
by: Cui, Shijie, et al.
Published: (2024)
by: Cui, Shijie, et al.
Published: (2024)
Generalised Bayes Linear Inference
by: Astfalck, Lachlan, et al.
Published: (2024)
by: Astfalck, Lachlan, et al.
Published: (2024)
Data-Driven Uniform Inference for General Continuous Treatment Models via Minimum-Variance Weighting
by: Ai, Chunrong, et al.
Published: (2026)
by: Ai, Chunrong, et al.
Published: (2026)
G-HIVE: Parameter Estimation and Approximate Inference for Multivariate Response Generalized Linear Models with Hidden Variables
by: Lee, Inbeom, et al.
Published: (2025)
by: Lee, Inbeom, et al.
Published: (2025)
Statistical Inference for High-Dimensional Robust Linear Regression Models via Recursive Online-Score Estimation
by: Zheng, Dian, et al.
Published: (2025)
by: Zheng, Dian, et al.
Published: (2025)
Generalised Linear Models Driven by Latent Processes: Asymptotic Theory and Applications
by: Barreto-Souza, Wagner, et al.
Published: (2026)
by: Barreto-Souza, Wagner, et al.
Published: (2026)
Bayesian Predictive Inference Beyond Martingales
by: Battiston, Marco, et al.
Published: (2025)
by: Battiston, Marco, et al.
Published: (2025)
Valid Bayesian Inference based on Variance Weighted Projection for High-Dimensional Logistic Regression with Binary Covariates
by: Ojha, Abhishek, et al.
Published: (2024)
by: Ojha, Abhishek, et al.
Published: (2024)
Causal Inference in Biomedical Imaging via Functional Linear Structural Equation Models
by: Li, Ting, et al.
Published: (2026)
by: Li, Ting, et al.
Published: (2026)
Strang Splitting for Parametric Inference in Second-order Stochastic Differential Equations
by: Pilipovic, Predrag, et al.
Published: (2024)
by: Pilipovic, Predrag, et al.
Published: (2024)
Adaptive Long-Run Variance Thresholding for Sparse Covariance Estimation in High-Dimensional Time Series
by: Zhang, Wenhao, et al.
Published: (2026)
by: Zhang, Wenhao, et al.
Published: (2026)
Estimating Signal-to-Noise Ratios for Multivariate High-dimensional Linear Models
by: Hu, Xiaohan, et al.
Published: (2025)
by: Hu, Xiaohan, et al.
Published: (2025)
Enhanced Inference for Finite Population Sampling-Based Prevalence Estimation with Misclassification Errors
by: Ge, Lin, et al.
Published: (2023)
by: Ge, Lin, et al.
Published: (2023)
Mean Estimation in Banach Spaces Under Infinite Variance and Martingale Dependence
by: Whitehouse, Justin, et al.
Published: (2024)
by: Whitehouse, Justin, et al.
Published: (2024)
Robust Inference for High-dimensional Linear Models with Heavy-tailed Errors via Partial Gini Covariance
by: Zhang, Yilin, et al.
Published: (2024)
by: Zhang, Yilin, et al.
Published: (2024)
The Bayesian Infinitesimal Jackknife for Variance
by: Giordano, Ryan, et al.
Published: (2023)
by: Giordano, Ryan, et al.
Published: (2023)
Studentising Kendall's Tau: U-Statistic Estimators and Bias Correction for a Generalised Rank Variance-Covariance framework
by: Hurley, Landon
Published: (2023)
by: Hurley, Landon
Published: (2023)
Quasi-maximum Likelihood Inference for Linear Double Autoregressive Models
by: Liu, Hua, et al.
Published: (2020)
by: Liu, Hua, et al.
Published: (2020)
Robust Inference Under Heteroskedasticity via the Hadamard Estimator
by: Dobriban, Edgar, et al.
Published: (2018)
by: Dobriban, Edgar, et al.
Published: (2018)
Asymptotic theory of rerandomization for survival analysis
by: Chen, Xinyuan, et al.
Published: (2026)
by: Chen, Xinyuan, et al.
Published: (2026)
Variance estimation after matching or re-weighting
by: Meng, Xiang, et al.
Published: (2025)
by: Meng, Xiang, et al.
Published: (2025)
Anytime-Valid Linear Models and Regression Adjusted Causal Inference in Randomized Experiments
by: Lindon, Michael, et al.
Published: (2022)
by: Lindon, Michael, et al.
Published: (2022)
Zero Variance Portfolio
by: Chang, Jinyuan, et al.
Published: (2026)
by: Chang, Jinyuan, et al.
Published: (2026)
Estimation and Inference for Change Points in Functional Regression Time Series
by: Kumar, Shivam, et al.
Published: (2024)
by: Kumar, Shivam, et al.
Published: (2024)
Beyond Conditional Averages: Estimating The Individual Causal Effect Distribution
by: Post, Richard, et al.
Published: (2022)
by: Post, Richard, et al.
Published: (2022)
Adaptive Lasso, Transfer Lasso, and Beyond: An Asymptotic Perspective
by: Takada, Masaaki, et al.
Published: (2023)
by: Takada, Masaaki, et al.
Published: (2023)
Functional Adaptive Double-Sparsity Estimator for Functional Linear Regression Model with Multiple Functional Covariates
by: Cao, Cheng, et al.
Published: (2023)
by: Cao, Cheng, et al.
Published: (2023)
Method-of-Moments Inference for GLMs and Doubly Robust Functionals under Proportional Asymptotics
by: Chen, Xingyu, et al.
Published: (2024)
by: Chen, Xingyu, et al.
Published: (2024)
Empirical Bayes Estimation and Inference via Smooth Nonparametric Maximum Likelihood
by: Kim, Taehyun, et al.
Published: (2026)
by: Kim, Taehyun, et al.
Published: (2026)
High-Dimensional Single-Index Models: Link Estimation and Marginal Inference
by: Sawaya, Kazuma, et al.
Published: (2024)
by: Sawaya, Kazuma, et al.
Published: (2024)
Similar Items
-
Refined Inference for Asymptotically Linear Estimators with Non-Negligible Second-Order Remainders
by: Li, Lin
Published: (2026) -
Sandwich Boosting for Accurate Estimation in Partially Linear Models for Grouped Data
by: Young, Elliot H., et al.
Published: (2023) -
Order-Induced Variance in the Moving-Range Sigma Estimator: A Total-Variance Decomposition
by: Karl, Andrew T.
Published: (2026) -
M-Variance Asymptotics and Uniqueness of Descriptors
by: Eltzner, Benjamin
Published: (2020) -
Neyman Jackknife: Design-Based Variance Estimation for Causal Inference under Interference
by: Park, Bryan, et al.
Published: (2026)