Predictive posteriors under hidden confounding
Fuente:
arXiv
Saved in:
| Main Authors: | Meixide, Carlos García, Insua, David Ríos |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Unsupervised domain adaptation under hidden confounding
by: Meixide, Carlos García, et al.
Published: (2024)
by: Meixide, Carlos García, et al.
Published: (2024)
Shrinkage through multiple identifiability
by: Meixide, Carlos García, et al.
Published: (2026)
by: Meixide, Carlos García, et al.
Published: (2026)
Forecasting Adversarial Actions Using Judgment Decomposition-Recomposition
by: Gomez, Yolanda, et al.
Published: (2024)
by: Gomez, Yolanda, et al.
Published: (2024)
Uncertainty quantification for intervals
by: Meixide, Carlos García, et al.
Published: (2024)
by: Meixide, Carlos García, et al.
Published: (2024)
Consistency of common spatial estimators under spatial confounding
by: Gilbert, Brian, et al.
Published: (2023)
by: Gilbert, Brian, et al.
Published: (2023)
Dynamical causality under invisible confounders
by: Yan, Jinling, et al.
Published: (2024)
by: Yan, Jinling, et al.
Published: (2024)
Neural interval-censored survival regression with feature selection
by: Meixide, Carlos García, et al.
Published: (2022)
by: Meixide, Carlos García, et al.
Published: (2022)
Identification and estimation of vaccine effectiveness in the test-negative design under equi-confounding
by: Boyer, Christopher B., et al.
Published: (2025)
by: Boyer, Christopher B., et al.
Published: (2025)
A Two-Level Plackett-Luce Model for preference modeling in smart mobility platforms
by: Santos-Pascual, M., et al.
Published: (2026)
by: Santos-Pascual, M., et al.
Published: (2026)
Evaluation and comparison of covariate balance metrics in studies with time-dependent confounding
by: Adenyo, David, et al.
Published: (2024)
by: Adenyo, David, et al.
Published: (2024)
Treatment effect extrapolation in the presence of unmeasured confounding
by: Riley, Stephanie, et al.
Published: (2025)
by: Riley, Stephanie, et al.
Published: (2025)
A causal inference framework for spatial confounding
by: Gilbert, Brian, et al.
Published: (2021)
by: Gilbert, Brian, et al.
Published: (2021)
Parameter identification in linear non-Gaussian causal models under general confounding
by: Tramontano, Daniele, et al.
Published: (2024)
by: Tramontano, Daniele, et al.
Published: (2024)
Spatial causal inference in the presence of unmeasured confounding and interference
by: Papadogeorgou, Georgia, et al.
Published: (2023)
by: Papadogeorgou, Georgia, et al.
Published: (2023)
Semiparametric sensitivity analysis: unmeasured confounding in observational studies
by: Nabi, Razieh, et al.
Published: (2021)
by: Nabi, Razieh, et al.
Published: (2021)
Recanting twins: addressing intermediate confounding in mediation analysis
by: Vo, Tat-Thang, et al.
Published: (2024)
by: Vo, Tat-Thang, et al.
Published: (2024)
Adjusting for indirectly measured confounding using large-scale propensity scores
by: Zhang, Linying, et al.
Published: (2021)
by: Zhang, Linying, et al.
Published: (2021)
Partial identification and unmeasured confounding with multiple treatments and multiple outcomes
by: Kang, Suyeon, et al.
Published: (2023)
by: Kang, Suyeon, et al.
Published: (2023)
Bidirectional causal inference for binary outcomes in the presence of unmeasured confounding
by: Deng, Yafang, et al.
Published: (2026)
by: Deng, Yafang, et al.
Published: (2026)
Mediation analysis with unmeasured confounding between parallel mediators and outcome
by: Shuai, Kang, et al.
Published: (2023)
by: Shuai, Kang, et al.
Published: (2023)
Disentangling spatial interference and spatial confounding biases in causal inference
by: Ogunsola, Isqeel, et al.
Published: (2026)
by: Ogunsola, Isqeel, et al.
Published: (2026)
Data fusion methods for the heterogeneity of treatment effect and confounding function
by: Yang, Shu, et al.
Published: (2020)
by: Yang, Shu, et al.
Published: (2020)
Efficiency-improved doubly robust estimation with non-confounding predictive covariates
by: Luo, Shanshan, et al.
Published: (2024)
by: Luo, Shanshan, et al.
Published: (2024)
Estimating causal effects of continuous-time dynamic treatments with unmeasured confounders
by: Zhu, Haiyan, et al.
Published: (2026)
by: Zhu, Haiyan, et al.
Published: (2026)
A joint modeling approach to treatment effects estimation with unmeasured confounders
by: Lee, Namhwa, et al.
Published: (2024)
by: Lee, Namhwa, et al.
Published: (2024)
Interpretable sensitivity analysis for the Baron-Kenny approach to mediation with unmeasured confounding
by: Zhang, Mingrui, et al.
Published: (2022)
by: Zhang, Mingrui, et al.
Published: (2022)
A general condition for bias attenuation by a nondifferentially mismeasured confounder
by: Zhang, Jeffrey, et al.
Published: (2024)
by: Zhang, Jeffrey, et al.
Published: (2024)
Interval identification of natural effects in the presence of outcome-related unmeasured confounding
by: Doretti, Marco, et al.
Published: (2024)
by: Doretti, Marco, 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)
An average-case sensitivity analysis for unmeasured confounding
by: Zhang, Yao, et al.
Published: (2022)
by: Zhang, Yao, et al.
Published: (2022)
Efficient estimation of average treatment effects with unmeasured confounding and proxies
by: Ai, Chunrong, et al.
Published: (2025)
by: Ai, Chunrong, et al.
Published: (2025)
A confounding bridge approach for double negative control inference on causal effects
by: Miao, Wang, et al.
Published: (2018)
by: Miao, Wang, et al.
Published: (2018)
Flexible sensitivity analysis for causal inference in observational studies subject to unmeasured confounding
by: Lu, Sizhu, et al.
Published: (2023)
by: Lu, Sizhu, et al.
Published: (2023)
Controlling for discrete unmeasured confounding in nonlinear causal models
by: Burauel, Patrick, et al.
Published: (2024)
by: Burauel, Patrick, et al.
Published: (2024)
Penalized mixed models to adjust for batch effects and unobserved confounding in high dimensional regression
by: Lu, Yujing, et al.
Published: (2025)
by: Lu, Yujing, et al.
Published: (2025)
A regression-based approach for bidirectional proximal causal inference in the presence of unmeasured confounding
by: Min, Jiaqi, et al.
Published: (2025)
by: Min, Jiaqi, et al.
Published: (2025)
Exploiting independence constraints for efficient estimation of bounds on causal effects in the presence of unmeasured confounding
by: Chang, Ting-Hsuan, et al.
Published: (2026)
by: Chang, Ting-Hsuan, et al.
Published: (2026)
A simplified spatial+ approach to mitigate spatial confounding in multivariate spatial areal models
by: Urdangarin, A., et al.
Published: (2023)
by: Urdangarin, A., et al.
Published: (2023)
Causal machine learning methods and use of cross-fitting in settings with high-dimensional confounding
by: Ellul, Susan, et al.
Published: (2024)
by: Ellul, Susan, et al.
Published: (2024)
crumble: A comprehensive framework for modern causal mediation analysis with intermediate confounding
by: Liu, Richard, et al.
Published: (2026)
by: Liu, Richard, et al.
Published: (2026)
Similar Items
-
Unsupervised domain adaptation under hidden confounding
by: Meixide, Carlos García, et al.
Published: (2024) -
Shrinkage through multiple identifiability
by: Meixide, Carlos García, et al.
Published: (2026) -
Forecasting Adversarial Actions Using Judgment Decomposition-Recomposition
by: Gomez, Yolanda, et al.
Published: (2024) -
Uncertainty quantification for intervals
by: Meixide, Carlos García, et al.
Published: (2024) -
Consistency of common spatial estimators under spatial confounding
by: Gilbert, Brian, et al.
Published: (2023)