Cover Image

Estimation and Inference for Causal Explainability

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhang, Weihan, Gao, Zijun
Format:	Preprint
Published:	2025
Subjects:	Methodology Applications
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Selective randomization inference for subgroup effects with continuous biomarkers
by: Gao, Zijun
Published: (2025)

Estimating the Effects of Heatwaves on Health: A Causal Inference Framework
by: Grossi, Giulio, et al.
Published: (2025)

Causal Inference for Circular Data
by: Wu, Kuan-Hsun
Published: (2025)

Mendelian Randomization Methods for Causal Inference: Estimands, Identification and Inference
by: Yao, Minhao, et al.
Published: (2025)

Causal Inference in Genetic Trio Studies
by: Bates, Stephen, et al.
Published: (2020)

Longitudinal Causal Inference with Selective Eligibility
by: Jiang, Zhichao, et al.
Published: (2024)

Proximal Causal Inference for Modified Treatment Policies
by: Olivas-Martinez, Antonio, et al.
Published: (2025)

Causal Inference Using Augmented Epidemic Models
by: Bong, Heejong, et al.
Published: (2024)

Semiparametric Inference for Causal Effects on Functional Outcomes
by: Nie, Junzhu, et al.
Published: (2026)

lmw: Linear Model Weights for Causal Inference
by: Chattopadhyay, Ambarish, et al.
Published: (2023)

Individualized Prediction Bands in Causal Inference with Continuous Treatments
by: Sampson, Max, et al.
Published: (2025)

The Estimand Framework and Causal Inference: Complementary not Competing Paradigms
by: Drury, Thomas, et al.
Published: (2024)

Causal Inference for Continuous Multiple Time Point Interventions
by: Schomaker, Michael, et al.
Published: (2023)

Causal Inference with Outcomes Truncated by Death and Missing Not at Random
by: Li, Wei, et al.
Published: (2024)

GenAI Powered Dynamic Causal Inference with Unstructured Data
by: Nakamura, Kentaro, et al.
Published: (2026)

Fast Uncertainty Quantification for Kernel-Based Estimators in Large-Scale Causal Inference
by: Kosko, Matthew, et al.
Published: (2026)

Forest Kernel Balancing Weights: Outcome-Guided Features for Causal Inference
by: Shen, Andy A., et al.
Published: (2025)

Degree of Interference: A General Framework For Causal Inference Under Interference
by: Ohnishi, Yuki, et al.
Published: (2022)

What is Overlap Weighting, How Has it Evolved, and When to Use It for Causal Inference?
by: Lu, Haidong, et al.
Published: (2026)

Bayesian Nonparametric Causal Inference for Quantile Residual Life: An Application to Alzheimer's Disease
by: Bae, Woojung, et al.
Published: (2026)

HAL-Based Plug-in Estimation with Pointwise Asymptotic Normality of the Causal Dose-Response Curve
by: Shi, Junming, et al.
Published: (2024)

The Role of Congeniality in Multiple Imputation for Doubly Robust Causal Estimation
by: McGowan, Lucy D'Agostino
Published: (2025)

Longitudinal Outcomes Truncated by Death: Causal Estimands and Bayesian Estimators
by: Ortholand, Juliette, et al.
Published: (2026)

PanelMatch: Matching Methods for Causal Inference with Time-Series Cross-Section Data
by: Rauh, Adam, et al.
Published: (2025)

Robust Causal Inference for EHR-based Studies of Point Exposures with Missingness in Eligibility Criteria
by: Benz, Luke, et al.
Published: (2025)

Causal Inference of Blood Pressure Reduction and Coronary Heart Disease Risk in the Framingham Study
by: Patra, Suchibrata
Published: (2026)

Testing Generalizability in Causal Inference
by: Manela, Daniel de Vassimon, et al.
Published: (2024)

Choosing Covariate Balancing Methods for Causal Inference: Practical Insights from a Simulation Study
by: Peyrot, Etienne, et al.
Published: (2024)

Estimating Heterogeneous Causal Effects of High-Dimensional Treatments: Application to Conjoint Analysis
by: Goplerud, Max, et al.
Published: (2022)

Estimating Interpretable Heterogeneous Treatment Effect with Causal Subgroup Discovery in Survival Outcomes
by: Bo, Na, et al.
Published: (2024)

Application of Propensity Score Models and Causal Estimators in Observational Studies under Model Misspecification
by: Das, Apu Chandra, et al.
Published: (2026)

Estimating Causal Effects for Binary Outcomes Using Per-Decision Inverse Probability Weighting
by: Bao, Yihan, et al.
Published: (2023)

lpcde: Estimation and Inference for Local Polynomial Conditional Density Estimators
by: Cattaneo, Matias D., et al.
Published: (2022)

Bootstrap-Aggregated Method-of-Moments Estimation of the Copula Correlation Parameter for Marginal Survival Inference under Dependent Censoring
by: Zhang, Hyun-Soo, et al.
Published: (2026)

Nonparametric Identification and Estimation of Causal Effects on Latent Outcomes
by: Fu, Jiawei, et al.
Published: (2026)

Sparse Causal Effect Estimation using Two-Sample Summary Statistics in the Presence of Unmeasured Confounding
by: Huang, Shimeng, et al.
Published: (2024)

Causal Inference for Experiments with Latent Outcomes: Key Results and Their Implications for Design and Analysis
by: Fu, Jiawei, et al.
Published: (2025)

Causal Discovery on Dependent Mixed Data with Applications to Gene Regulatory Network Inference
by: Chen, Alex, et al.
Published: (2026)

Beyond Point Estimates: Toward Proper Statistical Inferencing and Reporting of Intraclass Correlation Coefficients
by: Liu, Yufeng, et al.
Published: (2026)

On the Role of Surrogates in Conformal Inference of Individual Causal Effects
by: Gao, Chenyin, et al.
Published: (2024)