Rerandomization for quantile treatment effects
Fuente:
arXiv
Saved in:
| Main Authors: | Han, Tingxuan, Wang, Yuhao |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Asymptotic Theory of the Best-Choice Rerandomization using the Mahalanobis Distance
by: Wang, Yuhao, et al.
Published: (2023)
by: Wang, Yuhao, et al.
Published: (2023)
A Unified Framework for Rerandomization using Quadratic Forms
by: Schindl, Kyle, et al.
Published: (2024)
by: Schindl, Kyle, et al.
Published: (2024)
Asymptotically-exact selective inference for quantile regression
by: Wang, Yumeng, et al.
Published: (2024)
by: Wang, Yumeng, et al.
Published: (2024)
Nonparametric quantile regression for spatio-temporal processes
by: Deb, Soudeep, et al.
Published: (2024)
by: Deb, Soudeep, et al.
Published: (2024)
A data-based notion of quantiles on Hadamard spaces
by: Shin, Ha-Young, et al.
Published: (2025)
by: Shin, Ha-Young, et al.
Published: (2025)
Geometric quantile-based measures of multivariate distributional characteristics
by: Shin, Ha-Young, et al.
Published: (2024)
by: Shin, Ha-Young, et al.
Published: (2024)
Non-parametric estimation of conditional quantiles for time series with heavy tails
by: Mathew, Deemat C, et al.
Published: (2024)
by: Mathew, Deemat C, et al.
Published: (2024)
Latent confounding in high-dimensional nonlinear models
by: Wang, Yuhao, et al.
Published: (2025)
by: Wang, Yuhao, et al.
Published: (2025)
Inverting estimating equations for causal inference on quantiles
by: Cheng, Chao, et al.
Published: (2024)
by: Cheng, Chao, et al.
Published: (2024)
Parameterising the effect of a continuous treatment using average derivative effects
by: Hines, Oliver J., et al.
Published: (2021)
by: Hines, Oliver J., et al.
Published: (2021)
Estimation of conditional inequality curves and measures via estimating the conditional quantile function
by: Jokiel-Rokita, Alicja, et al.
Published: (2024)
by: Jokiel-Rokita, Alicja, 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)
Residual permutation test for regression coefficient testing
by: Wen, Kaiyue, et al.
Published: (2022)
by: Wen, Kaiyue, et al.
Published: (2022)
Root-n consistent semiparametric learning with high-dimensional nuisance functions under minimal sparsity
by: Liu, Lin, et al.
Published: (2023)
by: Liu, Lin, et al.
Published: (2023)
One-step TMLE for weighted average treatment effects
by: Liu, Yang, et al.
Published: (2026)
by: Liu, Yang, et al.
Published: (2026)
A multivariate extension of Azadkia-Chatterjee's rank coefficient
by: Huang, Wenjie, et al.
Published: (2025)
by: Huang, Wenjie, et al.
Published: (2025)
Debiased regression adjustment in completely randomized experiments with moderately high-dimensional covariates
by: Lu, Xin, et al.
Published: (2023)
by: Lu, Xin, et al.
Published: (2023)
Randomization-based confidence sets for the local average treatment effect
by: Aronow, P. M., et al.
Published: (2024)
by: Aronow, P. M., et al.
Published: (2024)
The CATT SATT on the MATT: semiparametric inference for sample treatment effects on the treated
by: Yiu, Andrew
Published: (2024)
by: Yiu, Andrew
Published: (2024)
Randomization-based Z-estimation for evaluating average and individual treatment effects
by: Qu, Tianyi, et al.
Published: (2024)
by: Qu, Tianyi, et al.
Published: (2024)
Doubly robust pointwise confidence intervals for a monotonic continuous treatment effect curve
by: Doss, Charles R.
Published: (2025)
by: Doss, Charles R.
Published: (2025)
Debiased Inference for High-Dimensional Regression Models Based on Profile M-Estimation
by: Wang, Yi, et al.
Published: (2025)
by: Wang, Yi, et al.
Published: (2025)
A note on the properties of the confidence set for the local average treatment effect obtained by inverting the score test
by: Smucler, Ezequiel, et al.
Published: (2025)
by: Smucler, Ezequiel, et al.
Published: (2025)
Rate doubly robust estimation for weighted average treatment effects
by: Wang, Yiming, et al.
Published: (2025)
by: Wang, Yiming, et al.
Published: (2025)
One-dimensional quantile-stratified sampling and its application in statistical simulations
by: O'Neill, Ben
Published: (2025)
by: O'Neill, Ben
Published: (2025)
Continuous-time structural failure time model for intermittent treatment
by: Wang, Guanbo, et al.
Published: (2024)
by: Wang, Guanbo, et al.
Published: (2024)
Bayesian analysis of regression discontinuity designs with heterogeneous treatment effects
by: Tao, Kevin, et al.
Published: (2025)
by: Tao, Kevin, et al.
Published: (2025)
Optimal treatment regimes for the net benefit of a treatment
by: Petit, François, et al.
Published: (2025)
by: Petit, François, et al.
Published: (2025)
On the breakdown point of transport-based quantiles
by: Avella-Medina, Marco, et al.
Published: (2024)
by: Avella-Medina, Marco, et al.
Published: (2024)
Causal inference under transportability assumptions for conditional relative effect measures
by: Wang, Guanbo, et al.
Published: (2024)
by: Wang, Guanbo, et al.
Published: (2024)
Incremental effects for continuous exposures
by: Schindl, Kyle, et al.
Published: (2024)
by: Schindl, Kyle, et al.
Published: (2024)
Optimally weighted average derivative effects
by: Hines, Oliver, et al.
Published: (2023)
by: Hines, Oliver, et al.
Published: (2023)
Consistent Empirical Bayes estimation of the mean of a mixing distribution without identifiability assumption. With applications to treatment of non-response
by: Greenshtein, Eitan
Published: (2024)
by: Greenshtein, Eitan
Published: (2024)
Kernel Two-Sample Testing via Directional Components Analysis
by: Cui, Rui, et al.
Published: (2025)
by: Cui, Rui, et al.
Published: (2025)
Permutation Inference under Multi-way Clustering and Missing Data
by: Guo, Wenxuan, et al.
Published: (2026)
by: Guo, Wenxuan, et al.
Published: (2026)
On treating right-censoring events like treatments
by: Wen, Lan, et al.
Published: (2025)
by: Wen, Lan, et al.
Published: (2025)
Mitigating dimensionality effects with robust graph constructions for testing
by: Zhu, Yejiong, et al.
Published: (2023)
by: Zhu, Yejiong, et al.
Published: (2023)
Testing for no effect in regression problems: a permutation approach
by: Ciszewski, Michał, et al.
Published: (2023)
by: Ciszewski, Michał, et al.
Published: (2023)
Identifiability of causal effects with non-Gaussianity and auxiliary covariates
by: Shuai, Kang, et al.
Published: (2023)
by: Shuai, Kang, et al.
Published: (2023)
Design-based inference for generalized causal effects in randomized experiments
by: Chen, Xinyuan, et al.
Published: (2026)
by: Chen, Xinyuan, et al.
Published: (2026)
Similar Items
-
Asymptotic Theory of the Best-Choice Rerandomization using the Mahalanobis Distance
by: Wang, Yuhao, et al.
Published: (2023) -
A Unified Framework for Rerandomization using Quadratic Forms
by: Schindl, Kyle, et al.
Published: (2024) -
Asymptotically-exact selective inference for quantile regression
by: Wang, Yumeng, et al.
Published: (2024) -
Nonparametric quantile regression for spatio-temporal processes
by: Deb, Soudeep, et al.
Published: (2024) -
A data-based notion of quantiles on Hadamard spaces
by: Shin, Ha-Young, et al.
Published: (2025)