Nonparametric Estimation of Local Treatment Effects with Continuous Instruments
Fuente:
arXiv
Saved in:
| Main Authors: | Zeng, Zhenghao, Levis, Alexander W., Lee, JungHo, Kennedy, Edward H., Keele, Luke |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Local Effects of Continuous Instruments without Positivity
by: Rakshit, Prabrisha, et al.
Published: (2024)
by: Rakshit, Prabrisha, et al.
Published: (2024)
Nonparametric identification and efficient estimation of causal effects with instrumental variables
by: Levis, Alexander W., et al.
Published: (2024)
by: Levis, Alexander W., et al.
Published: (2024)
ML-assisted Randomization Tests for Detecting Treatment Effects in A/B Experiments
by: Guo, Wenxuan, et al.
Published: (2025)
by: Guo, Wenxuan, et al.
Published: (2025)
Learning Treatment Effects during Resource Allocation via Priority-Queue Randomization
by: Lee, JungHo, et al.
Published: (2026)
by: Lee, JungHo, et al.
Published: (2026)
Continuous Treatment Effects with Surrogate Outcomes
by: Zeng, Zhenghao, et al.
Published: (2024)
by: Zeng, Zhenghao, et al.
Published: (2024)
Discussion of "Causal and counterfactual views of missing data models" by Razieh Nabi, Rohit Bhattacharya, Ilya Shpitser, & James M. Robins
by: Levis, Alex W., et al.
Published: (2025)
by: Levis, Alex W., et al.
Published: (2025)
Intervention effects based on potential benefit
by: Levis, Alexander W., et al.
Published: (2024)
by: Levis, Alexander W., et al.
Published: (2024)
Causal Effect Estimation after Propensity Score Trimming with Continuous Treatments
by: Branson, Zach, et al.
Published: (2023)
by: Branson, Zach, et al.
Published: (2023)
Improving instrumental variable estimators with post-stratification
by: Pashley, Nicole E., et al.
Published: (2023)
by: Pashley, Nicole E., et al.
Published: (2023)
Nonparametric causal inference for optogenetics: sequential excursion effects for dynamic regimes
by: Loewinger, Gabriel, et al.
Published: (2024)
by: Loewinger, Gabriel, et al.
Published: (2024)
Matching-Based Nonparametric Estimation of Group Average Treatment Effects
by: Wu, Peng, et al.
Published: (2025)
by: Wu, Peng, et al.
Published: (2025)
Iterative Estimation of Nonparametric Regressions with Continuous Endogenous Variables and Discrete Instruments
by: Centorrino, Samuele, et al.
Published: (2019)
by: Centorrino, Samuele, et al.
Published: (2019)
Estimating Causal Effects of Discrete and Continuous Treatments with Binary Instruments
by: Chernozhukov, Victor, et al.
Published: (2024)
by: Chernozhukov, Victor, et al.
Published: (2024)
Causal Inference with High-dimensional Discrete Covariates
by: Zeng, Zhenghao, et al.
Published: (2024)
by: Zeng, Zhenghao, et al.
Published: (2024)
A Weighting Framework for Clusters as Confounders in Observational Studies
by: Ben-Michael, Eli, et al.
Published: (2026)
by: Ben-Michael, Eli, et al.
Published: (2026)
Doubly-Robust Functional Average Treatment Effect Estimation
by: Testa, Lorenzo, et al.
Published: (2025)
by: Testa, Lorenzo, et al.
Published: (2025)
Comparing Causal Inference Methods for Point Exposures with Missing Confounders: A Simulation Study
by: Benz, Luke, et al.
Published: (2024)
by: Benz, Luke, et al.
Published: (2024)
Efficient Generalization and Transportation
by: Zeng, Zhenghao, et al.
Published: (2023)
by: Zeng, Zhenghao, et al.
Published: (2023)
Stochastic interventions, sensitivity analysis, and optimal transport
by: Levis, Alexander W., et al.
Published: (2024)
by: Levis, Alexander W., et al.
Published: (2024)
A Statistical Framework for Understanding Causal Effects that Vary by Treatment Initiation Time in EHR-based Studies
by: Benz, Luke, et al.
Published: (2025)
by: Benz, Luke, et al.
Published: (2025)
Treatment Effects with Targeting Instruments
by: Lee, Sokbae, et al.
Published: (2020)
by: Lee, Sokbae, et al.
Published: (2020)
Nonparametric Estimation of Mediation Effects with A General Treatment
by: Huang, Lukang, et al.
Published: (2022)
by: Huang, Lukang, et al.
Published: (2022)
Causal Quantile Treatment Effects with missing data by double-sampling
by: Sun, Shuo, et al.
Published: (2023)
by: Sun, Shuo, et al.
Published: (2023)
Marginal Causal Effect Estimation with Continuous Instrumental Variables
by: Dong, Mei, et al.
Published: (2025)
by: Dong, Mei, et al.
Published: (2025)
Nonparametric Inference with an Instrumental Variable under a Separable Binary Treatment Choice Model
by: Park, Chan, et al.
Published: (2026)
by: Park, Chan, et al.
Published: (2026)
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)
Handling Missing Responses under Cluster Dependence with Applications to Language Model Evaluation
by: Zeng, Zhenghao, et al.
Published: (2025)
by: Zeng, Zhenghao, et al.
Published: (2025)
Counterfactual Density Estimation using Kernel Stein Discrepancies
by: Martinez-Taboada, Diego, et al.
Published: (2023)
by: Martinez-Taboada, Diego, et al.
Published: (2023)
Learning Smooth Populations of Parameters with Trial Heterogeneity
by: Lee, JungHo, et al.
Published: (2025)
by: Lee, JungHo, et al.
Published: (2025)
Nonparametric Inference Framework for Time-dependent Epidemic Models
by: Luu, Son, et al.
Published: (2024)
by: Luu, Son, et al.
Published: (2024)
Local Balance Calibration for Nonparametric Propensity Score Estimation
by: Peng, Maosen, et al.
Published: (2024)
by: Peng, Maosen, et al.
Published: (2024)
Causal Inference for Genomic Data with Multiple Heterogeneous Outcomes
by: Du, Jin-Hong, et al.
Published: (2024)
by: Du, Jin-Hong, et al.
Published: (2024)
Sensitivity Analysis for Clustered Observational Studies with an Application to the Effectiveness of Magnet Nursing Hospitals
by: Huang, Melody, et al.
Published: (2025)
by: Huang, Melody, et al.
Published: (2025)
Nonparametric Treatment Effect Identification in School Choice
by: Chen, Jiafeng
Published: (2021)
by: Chen, Jiafeng
Published: (2021)
Nonlinear Regression with Residuals: Causal Estimation with Time-varying Treatments and Covariates
by: Bates, Stephen, et al.
Published: (2022)
by: Bates, Stephen, et al.
Published: (2022)
Estimating Heterogeneous Treatment Effects by Combining Weak Instruments and Observational Data
by: Oprescu, Miruna, et al.
Published: (2024)
by: Oprescu, Miruna, et al.
Published: (2024)
Nonparametric Instrumental Variable Inference with Many Weak Instruments
by: van der Laan, Lars, et al.
Published: (2025)
by: van der Laan, Lars, et al.
Published: (2025)
Causal Inference with High-Dimensional Treatments
by: Kramer, Patrick, et al.
Published: (2026)
by: Kramer, Patrick, et al.
Published: (2026)
On Nonparametric Estimation of Covariograms
by: Bilchouris, Adam, et al.
Published: (2024)
by: Bilchouris, Adam, et al.
Published: (2024)
Bayesian Nonparametrics for Principal Stratification with Continuous Post-Treatment Variables
by: Zorzetto, Dafne, et al.
Published: (2024)
by: Zorzetto, Dafne, et al.
Published: (2024)
Similar Items
-
Local Effects of Continuous Instruments without Positivity
by: Rakshit, Prabrisha, et al.
Published: (2024) -
Nonparametric identification and efficient estimation of causal effects with instrumental variables
by: Levis, Alexander W., et al.
Published: (2024) -
ML-assisted Randomization Tests for Detecting Treatment Effects in A/B Experiments
by: Guo, Wenxuan, et al.
Published: (2025) -
Learning Treatment Effects during Resource Allocation via Priority-Queue Randomization
by: Lee, JungHo, et al.
Published: (2026) -
Continuous Treatment Effects with Surrogate Outcomes
by: Zeng, Zhenghao, et al.
Published: (2024)