Comparing Two Proxy Methods for Causal Identification
Fuente:
arXiv
Saved in:
| Main Authors: | Guo, Helen, Ogburn, Elizabeth L., Shpitser, Ilya |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Proximal Causal Inference for Hidden Outcomes
by: Guo, Helen, et al.
Published: (2026)
by: Guo, Helen, et al.
Published: (2026)
Partial Identification of Causal Effects Using Proxy Variables
by: Ghassami, AmirEmad, et al.
Published: (2023)
by: Ghassami, AmirEmad, et al.
Published: (2023)
Causal and Counterfactual Views of Missing Data Models
by: Nabi, Razieh, et al.
Published: (2022)
by: Nabi, Razieh, et al.
Published: (2022)
Response to Discussions of "Causal and Counterfactual Views of Missing Data Models"
by: Nabi, Razieh, et al.
Published: (2025)
by: Nabi, Razieh, et al.
Published: (2025)
Combining Experimental and Observational Data for Identification and Estimation of Long-Term Causal Effects
by: Ghassami, AmirEmad, et al.
Published: (2022)
by: Ghassami, AmirEmad, et al.
Published: (2022)
Recursive Equations For Imputation Of Missing Not At Random Data With Sparse Pattern Support
by: Phung, Trung, et al.
Published: (2025)
by: Phung, Trung, et al.
Published: (2025)
Fast Proxy Experiment Design for Causal Effect Identification
by: Elahi, Sepehr, et al.
Published: (2024)
by: Elahi, Sepehr, et al.
Published: (2024)
Augmented balancing weights as linear regression
by: Bruns-Smith, David, et al.
Published: (2023)
by: Bruns-Smith, David, et al.
Published: (2023)
Causal Discovery via Conditional Independence Testing with Proxy Variables
by: Liu, Mingzhou, et al.
Published: (2023)
by: Liu, Mingzhou, et al.
Published: (2023)
Transferring Causal Effects using Proxies
by: Iglesias-Alonso, Manuel, et al.
Published: (2025)
by: Iglesias-Alonso, Manuel, et al.
Published: (2025)
Comparative Study of Causal Discovery Methods for Cyclic Models with Hidden Confounders
by: Lorbeer, Boris, et al.
Published: (2024)
by: Lorbeer, Boris, et al.
Published: (2024)
Identifying Causal Effects Using a Single Proxy Variable
by: Vollmer, Silvan, et al.
Published: (2026)
by: Vollmer, Silvan, et al.
Published: (2026)
A Primer on the Signature Method in Machine Learning
by: Chevyrev, Ilya, et al.
Published: (2016)
by: Chevyrev, Ilya, et al.
Published: (2016)
Causal de Finetti: On the Identification of Invariant Causal Structure in Exchangeable Data
by: Guo, Siyuan, et al.
Published: (2022)
by: Guo, Siyuan, et al.
Published: (2022)
Discovering Causal Relationships using Proxy Variables under Unmeasured Confounding
by: Wu, Yong, et al.
Published: (2025)
by: Wu, Yong, et al.
Published: (2025)
Identification and Estimation for Nonignorable Missing Data: A Data Fusion Approach
by: Wang, Zixiao, et al.
Published: (2023)
by: Wang, Zixiao, et al.
Published: (2023)
Double Machine Learning Methods for Estimating Average Treatment Effects: A Comparative Study
by: Tan, Xiaoqing, et al.
Published: (2022)
by: Tan, Xiaoqing, et al.
Published: (2022)
Causal Effect Identification in LiNGAM Models with Latent Confounders
by: Tramontano, Daniele, et al.
Published: (2024)
by: Tramontano, Daniele, et al.
Published: (2024)
Adjustment Identification Distance: A gadjid for Causal Structure Learning
by: Henckel, Leonard, et al.
Published: (2024)
by: Henckel, Leonard, et al.
Published: (2024)
Identification of Average Causal Effects in Confounded Additive Noise Models
by: Elahi, Muhammad Qasim, et al.
Published: (2024)
by: Elahi, Muhammad Qasim, et al.
Published: (2024)
Automating the Selection of Proxy Variables of Unmeasured Confounders
by: Xie, Feng, et al.
Published: (2024)
by: Xie, Feng, et al.
Published: (2024)
Data Fusion for Partial Identification of Causal Effects
by: Lanners, Quinn, et al.
Published: (2025)
by: Lanners, Quinn, et al.
Published: (2025)
Causal Analysis of Shapley Values: Conditional vs. Marginal
by: Rozenfeld, Ilya
Published: (2024)
by: Rozenfeld, Ilya
Published: (2024)
A General Identification Algorithm For Data Fusion Problems Under Systematic Selection
by: Lee, Jaron J. R., et al.
Published: (2024)
by: Lee, Jaron J. R., et al.
Published: (2024)
Choosing a Proxy Metric from Past Experiments
by: Tripuraneni, Nilesh, et al.
Published: (2023)
by: Tripuraneni, Nilesh, et al.
Published: (2023)
Causal Effect Identification in lvLiNGAM from Higher-Order Cumulants
by: Tramontano, Daniele, et al.
Published: (2025)
by: Tramontano, Daniele, et al.
Published: (2025)
Causal Identification in Time Series Models
by: Jahn, Erik, et al.
Published: (2025)
by: Jahn, Erik, et al.
Published: (2025)
Causal Inference with the "Napkin Graph"
by: Guo, Anna, et al.
Published: (2025)
by: Guo, Anna, et al.
Published: (2025)
Causal Inference on Networks under Misspecified Exposure Mappings: A Partial Identification Framework
by: Schröder, Maresa, et al.
Published: (2026)
by: Schröder, Maresa, et al.
Published: (2026)
Bayesian Estimation of Causal Effects Using Proxies of a Latent Interference Network
by: Weinstein, Bar, et al.
Published: (2025)
by: Weinstein, Bar, et al.
Published: (2025)
Estimate Level Adjustment For Inference With Proxies Under Random Distribution Shifts
by: Wilkins-Reeves, Steven, et al.
Published: (2026)
by: Wilkins-Reeves, Steven, et al.
Published: (2026)
Improving Generative Methods for Causal Evaluation via Simulation-Based Inference
by: Amaranath, Pracheta, et al.
Published: (2025)
by: Amaranath, Pracheta, et al.
Published: (2025)
Explaining the Behavior of Black-Box Prediction Algorithms with Causal Learning
by: Sani, Numair, et al.
Published: (2020)
by: Sani, Numair, et al.
Published: (2020)
s-ID: Causal Effect Identification in a Sub-Population
by: Abouei, Amir Mohammad, et al.
Published: (2023)
by: Abouei, Amir Mohammad, et al.
Published: (2023)
Weighting-Based Identification and Estimation in Graphical Models of Missing Data
by: Guo, Anna, et al.
Published: (2026)
by: Guo, Anna, et al.
Published: (2026)
Do Finetti: On Causal Effects for Exchangeable Data
by: Guo, Siyuan, et al.
Published: (2024)
by: Guo, Siyuan, et al.
Published: (2024)
Regularizing Extrapolation in Causal Inference
by: Arbour, David, et al.
Published: (2025)
by: Arbour, David, et al.
Published: (2025)
Flexible Nonparametric Inference for Causal Effects under the Front-Door Model
by: Guo, Anna, et al.
Published: (2023)
by: Guo, Anna, et al.
Published: (2023)
A Meta-Learning Method for Estimation of Causal Excursion Effects to Assess Time-Varying Moderation
by: Shi, Jieru, et al.
Published: (2023)
by: Shi, Jieru, et al.
Published: (2023)
Comparing Model-agnostic Feature Selection Methods through Relative Efficiency
by: Zheng, Chenghui, et al.
Published: (2025)
by: Zheng, Chenghui, et al.
Published: (2025)
Similar Items
-
Proximal Causal Inference for Hidden Outcomes
by: Guo, Helen, et al.
Published: (2026) -
Partial Identification of Causal Effects Using Proxy Variables
by: Ghassami, AmirEmad, et al.
Published: (2023) -
Causal and Counterfactual Views of Missing Data Models
by: Nabi, Razieh, et al.
Published: (2022) -
Response to Discussions of "Causal and Counterfactual Views of Missing Data Models"
by: Nabi, Razieh, et al.
Published: (2025) -
Combining Experimental and Observational Data for Identification and Estimation of Long-Term Causal Effects
by: Ghassami, AmirEmad, et al.
Published: (2022)