Causal Effect of Functional Treatment
Fuente:
arXiv
Saved in:
| Main Authors: | Tan, Ruoxu, Huang, Wei, Zhang, Zheng, Yin, Guosheng |
|---|---|
| Format: | Preprint |
| Published: |
2022
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Nonparametric Estimation of Mediation Effects with A General Treatment
by: Huang, Lukang, et al.
Published: (2022)
by: Huang, Lukang, et al.
Published: (2022)
Deep Nonparametric Inference for Conditional Hazard Function
by: Su, Wen, et al.
Published: (2024)
by: Su, Wen, et al.
Published: (2024)
Flexible Functional Treatment Effect Estimation
by: Wang, Jiayi, et al.
Published: (2023)
by: Wang, Jiayi, et al.
Published: (2023)
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)
Causal Effect Estimation after Propensity Score Trimming with Continuous Treatments
by: Branson, Zach, et al.
Published: (2023)
by: Branson, Zach, et al.
Published: (2023)
Partial Identification of Causal Effects for Endogenous Continuous Treatments
by: Dalal, Abhinandan, et al.
Published: (2025)
by: Dalal, Abhinandan, et al.
Published: (2025)
Doubly-Robust Functional Average Treatment Effect Estimation
by: Testa, Lorenzo, et al.
Published: (2025)
by: Testa, Lorenzo, et al.
Published: (2025)
Dynamic Treatment Effects under Functional Longitudinal Studies
by: Ying, Andrew
Published: (2024)
by: Ying, Andrew
Published: (2024)
Causal Inference with High-Dimensional Treatments
by: Kramer, Patrick, et al.
Published: (2026)
by: Kramer, Patrick, et al.
Published: (2026)
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)
Sinkhorn Treatment Effects: A Causal Optimal Transport Measure
by: Agarwal, Medha, et al.
Published: (2026)
by: Agarwal, Medha, et al.
Published: (2026)
Causal Inference on Process Graphs, Part II: Causal Structure and Effect Identification
by: Reiter, Nicolas-Domenic, et al.
Published: (2024)
by: Reiter, Nicolas-Domenic, et al.
Published: (2024)
Transfer Learning for Causal Effect Estimation
by: Wei, Song, et al.
Published: (2023)
by: Wei, Song, et al.
Published: (2023)
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)
Estimation of Treatment Effects in Extreme and Unobserved Data
by: Tan, Jiyuan, et al.
Published: (2025)
by: Tan, Jiyuan, et al.
Published: (2025)
Beyond Conditional Averages: Estimating The Individual Causal Effect Distribution
by: Post, Richard, et al.
Published: (2022)
by: Post, Richard, et al.
Published: (2022)
Propensity Score Augmentation in Matching-based Estimation of Causal Effects
by: Ulloa-Pérez, Ernesto, et al.
Published: (2024)
by: Ulloa-Pérez, Ernesto, 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)
Variance Estimation for Weighted Average Treatment Effects
by: Li, Huiyue, et al.
Published: (2025)
by: Li, Huiyue, et al.
Published: (2025)
Causal Identification for Complex Functional Longitudinal Studies
by: Ying, Andrew
Published: (2022)
by: Ying, Andrew
Published: (2022)
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)
Individual Treatment Effect: Prediction Intervals and Sharp Bounds
by: Zhang, Zhehao, et al.
Published: (2025)
by: Zhang, Zhehao, et al.
Published: (2025)
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)
Bayesian Semiparametric Causal Inference: Targeted Doubly Robust Estimation of Treatment Effects
by: Sert, Gözde, et al.
Published: (2025)
by: Sert, Gözde, et al.
Published: (2025)
Incorporating Auxiliary Variables to Improve the Efficiency of Time-Varying Treatment Effect Estimation
by: Shi, Jieru, et al.
Published: (2023)
by: Shi, Jieru, et al.
Published: (2023)
Semi-Supervised Treatment Effect Estimation with Unlabeled Covariates for Prediction-Powered Causal Inference
by: Kato, Masahiro
Published: (2025)
by: Kato, Masahiro
Published: (2025)
The Honest Truth About Causal Trees: Accuracy Limits for Heterogeneous Treatment Effect Estimation
by: Cattaneo, Matias D., et al.
Published: (2025)
by: Cattaneo, Matias D., et al.
Published: (2025)
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)
Delaunay Weighted Two-sample Test for High-dimensional Data by Incorporating Geometric Information
by: Gu, Jiaqi, et al.
Published: (2024)
by: Gu, Jiaqi, et al.
Published: (2024)
Foundations of Causal Discovery on Groups of Variables
by: Wahl, Jonas, et al.
Published: (2023)
by: Wahl, Jonas, et al.
Published: (2023)
An Optimal Transport Approach to Estimating Causal Effects via Nonlinear Difference-in-Differences
by: Torous, William, et al.
Published: (2021)
by: Torous, William, et al.
Published: (2021)
Causal Inference with High-dimensional Discrete Covariates
by: Zeng, Zhenghao, et al.
Published: (2024)
by: Zeng, Zhenghao, et al.
Published: (2024)
Causal Small Area Estimation with Survey-only Covariates
by: Ito, Tsubasa, et al.
Published: (2026)
by: Ito, Tsubasa, et al.
Published: (2026)
A Framework for Covariate-Adjusted Bivariate Causal Discovery
by: Purkayastha, Soumik, et al.
Published: (2025)
by: Purkayastha, Soumik, et al.
Published: (2025)
Interpretable Causal Graphical Models for Equilibrium Systems with Confounding
by: Teh, Kai Z., et al.
Published: (2026)
by: Teh, Kai Z., et al.
Published: (2026)
Semiparametric Estimation of Treatment Effects in Observational Studies with Heterogeneous Partial Interference
by: Qu, Zhaonan, et al.
Published: (2021)
by: Qu, Zhaonan, et al.
Published: (2021)
Regression Adjustment for Estimating Distributional Treatment Effects in Randomized Controlled Trials
by: Oka, Tatsushi, et al.
Published: (2024)
by: Oka, Tatsushi, et al.
Published: (2024)
A Debiased Estimator for the Mediation Functional in Ultra-High-Dimensional Setting in the Presence of Interaction Effects
by: Bo, Shi, et al.
Published: (2024)
by: Bo, Shi, et al.
Published: (2024)
Identifiability of Sparse Causal Effects using Instrumental Variables
by: Pfister, Niklas, et al.
Published: (2022)
by: Pfister, Niklas, et al.
Published: (2022)
Partial Identification of Causal Effects Using Proxy Variables
by: Ghassami, AmirEmad, et al.
Published: (2023)
by: Ghassami, AmirEmad, et al.
Published: (2023)
Similar Items
-
Nonparametric Estimation of Mediation Effects with A General Treatment
by: Huang, Lukang, et al.
Published: (2022) -
Deep Nonparametric Inference for Conditional Hazard Function
by: Su, Wen, et al.
Published: (2024) -
Flexible Functional Treatment Effect Estimation
by: Wang, Jiayi, et al.
Published: (2023) -
Data-Driven Uniform Inference for General Continuous Treatment Models via Minimum-Variance Weighting
by: Ai, Chunrong, et al.
Published: (2026) -
Causal Effect Estimation after Propensity Score Trimming with Continuous Treatments
by: Branson, Zach, et al.
Published: (2023)