Data-Driven Uniform Inference for General Continuous Treatment Models via Minimum-Variance Weighting
Fuente:
arXiv
Saved in:
| Main Authors: | Ai, Chunrong, Huang, Wei, Zhang, Zheng |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Variance Estimation for Weighted Average Treatment Effects
by: Li, Huiyue, et al.
Published: (2025)
by: Li, Huiyue, et al.
Published: (2025)
Nonparametric Estimation of Mediation Effects with A General Treatment
by: Huang, Lukang, et al.
Published: (2022)
by: Huang, Lukang, et al.
Published: (2022)
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)
Adaptive Weight Learning for Multiple Outcome Optimization With Continuous Treatment
by: Wang, Chang, et al.
Published: (2024)
by: Wang, Chang, et al.
Published: (2024)
Causal Effect of Functional Treatment
by: Tan, Ruoxu, et al.
Published: (2022)
by: Tan, Ruoxu, et al.
Published: (2022)
An Improved Satterthwaite Effective Degrees of Freedom Correction for Weighted Syntheses of Variance
by: von Davier, Matthias
Published: (2025)
by: von Davier, Matthias
Published: (2025)
A General Framework for Multiple Testing via E-value Aggregation and Data-Dependent Weighting
by: Li, Guanxun, et al.
Published: (2023)
by: Li, Guanxun, et al.
Published: (2023)
Variance Inference Beyond the Sandwich for Asymptotically Linear Estimators with Second-Order Remainders
by: Li, Lin, et al.
Published: (2026)
by: Li, Lin, et al.
Published: (2026)
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)
Estimation and Inference for the Average Treatment Effect in a Score-Explained Heterogeneous Treatment Effect Model
by: Wibisono, Kevin Christian, et al.
Published: (2025)
by: Wibisono, Kevin Christian, et al.
Published: (2025)
Nonparametric Uniform Inference in Binary Classification and Policy Values
by: Liu, Nan, et al.
Published: (2025)
by: Liu, Nan, et al.
Published: (2025)
Causal Inference with High-Dimensional Treatments
by: Kramer, Patrick, et al.
Published: (2026)
by: Kramer, Patrick, et al.
Published: (2026)
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)
Sharp Bounds on the Variance of General Regression Adjustment in Randomized Experiments
by: Mikhaeil, Jonas M., et al.
Published: (2024)
by: Mikhaeil, Jonas M., et al.
Published: (2024)
Assumption-lean Inference for Network-linked Data
by: Li, Wei, et al.
Published: (2025)
by: Li, Wei, et al.
Published: (2025)
Modeling Non-Uniform Hypergraphs Using Determinantal Point Processes
by: Chen, Yichao, et al.
Published: (2025)
by: Chen, Yichao, et al.
Published: (2025)
Functional Data-Driven Quantile Model Averaging with Application to Cryptocurrencies
by: Xu, Wenchao, et al.
Published: (2023)
by: Xu, Wenchao, et al.
Published: (2023)
Minimax Rate-Optimal Inference for Individualized Quantile Treatment Effects in High-dimensional Models
by: Sun, Jiachen, et al.
Published: (2025)
by: Sun, Jiachen, et al.
Published: (2025)
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)
Zero Variance Portfolio
by: Chang, Jinyuan, et al.
Published: (2026)
by: Chang, Jinyuan, et al.
Published: (2026)
Statistical Inference on Latent Space Models for Network Data
by: Li, Jinming, et al.
Published: (2023)
by: Li, Jinming, et al.
Published: (2023)
Modelling Correlated Bernoulli Data Part II: Inference
by: Kimpton, Louise, et al.
Published: (2022)
by: Kimpton, Louise, et al.
Published: (2022)
The Bayesian Infinitesimal Jackknife for Variance
by: Giordano, Ryan, et al.
Published: (2023)
by: Giordano, Ryan, et al.
Published: (2023)
A Two-stage Inference Procedure for Sample Local Average Treatment Effects in Randomized Experiments
by: Zhong, Zhen, et al.
Published: (2024)
by: Zhong, Zhen, et al.
Published: (2024)
Identification and Inference for Structural Accelerated Failure Time Models via Instrument Interactions
by: Bu, Qiushi, et al.
Published: (2026)
by: Bu, Qiushi, et al.
Published: (2026)
M-Variance Asymptotics and Uniqueness of Descriptors
by: Eltzner, Benjamin
Published: (2020)
by: Eltzner, Benjamin
Published: (2020)
Variance estimation after matching or re-weighting
by: Meng, Xiang, et al.
Published: (2025)
by: Meng, Xiang, et al.
Published: (2025)
Bayesian Nonparametrics for Principal Stratification with Continuous Post-Treatment Variables
by: Zorzetto, Dafne, et al.
Published: (2024)
by: Zorzetto, Dafne, 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)
Debiased Inverse Propensity Score Weighting for Estimation of Average Treatment Effects with High-Dimensional Confounders
by: Wang, Yuhao, et al.
Published: (2020)
by: Wang, Yuhao, et al.
Published: (2020)
Simultaneous Inference for Non-Stationary Random Fields, with Application to Gridded Data Analysis
by: Zhang, Yunyi, et al.
Published: (2024)
by: Zhang, Yunyi, 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)
Robust Inference Under Heteroskedasticity via the Hadamard Estimator
by: Dobriban, Edgar, et al.
Published: (2018)
by: Dobriban, Edgar, et al.
Published: (2018)
A Simple and Effective Random Forest Modelling for Nonlinear Time Series Data
by: Zhang, Shihao, et al.
Published: (2025)
by: Zhang, Shihao, et al.
Published: (2025)
Causal Effect Estimation after Propensity Score Trimming with Continuous Treatments
by: Branson, Zach, et al.
Published: (2023)
by: Branson, Zach, et al.
Published: (2023)
Least Squares Inference for Data with Network Dependency
by: Lei, Jing, et al.
Published: (2024)
by: Lei, Jing, 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)
Uniform inference in linear mixed models
by: Ekvall, Karl Oskar, et al.
Published: (2025)
by: Ekvall, Karl Oskar, et al.
Published: (2025)
Principal Stratification with Continuous Post-Treatment Variables: Nonparametric Identification and Semiparametric Estimation
by: Lu, Sizhu, et al.
Published: (2023)
by: Lu, Sizhu, et al.
Published: (2023)
Repro Samples Method for a Performance Guaranteed Inference in General and Irregular Inference Problems
by: Xie, Minge, et al.
Published: (2024)
by: Xie, Minge, et al.
Published: (2024)
Similar Items
-
Variance Estimation for Weighted Average Treatment Effects
by: Li, Huiyue, et al.
Published: (2025) -
Nonparametric Estimation of Mediation Effects with A General Treatment
by: Huang, Lukang, et al.
Published: (2022) -
Valid Bayesian Inference based on Variance Weighted Projection for High-Dimensional Logistic Regression with Binary Covariates
by: Ojha, Abhishek, et al.
Published: (2024) -
Adaptive Weight Learning for Multiple Outcome Optimization With Continuous Treatment
by: Wang, Chang, et al.
Published: (2024) -
Causal Effect of Functional Treatment
by: Tan, Ruoxu, et al.
Published: (2022)