Cover Image

Covariate balancing with measurement error

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wen, Xialing, Yan, Ying
Format:	Preprint
Published:	2024
Subjects:	Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Covariate Balancing With Measurement Error
by: Xialing Wen, et al.
Published: (2025)

Mahalanobis balancing: a multivariate perspective on approximate covariate balancing
by: Dai, Yimin, et al.
Published: (2022)

Estimating Covariate-balanced Survival Curve in Distributed Data Environment using Data Collaboration Quasi-Experiment
by: Toyoda, Akihiro, et al.
Published: (2025)

Covariate balancing estimation and model selection for difference-in-differences approach
by: Baba, Takamichi, et al.
Published: (2025)

Doubly Robust Estimation under Covariate-Induced Dependent Left Truncation
by: Wang, Yuyao, et al.
Published: (2022)

Covariate balancing for causal inference on categorical and continuous treatments
by: Lee, Seong-ho, et al.
Published: (2021)

Survival Analysis Under the Aalen's Additive Hazards Model With Covariate Measurement Error: Application to Causal Mediation Analysis
by: Xialing Wen, et al.
Published: (2025)

Covariate Connectivity Combined Clustering for Weighted Networks
by: Hu, Zeyu, et al.
Published: (2025)

Efficient Inference for Covariate-adjusted Bradley-Terry Model with Covariate Shift
by: Li, Xiudi, et al.
Published: (2025)

Towards the Efficient Inference by Incorporating Automated Computational Phenotypes under Covariate Shift
by: Ying, Chao, et al.
Published: (2025)

Robust Distance Covariance
by: Leyder, Sarah, et al.
Published: (2024)

A Bayesian Generalized Bridge Regression Approach to Covariance Estimation in the Presence of Covariates
by: Zhao, Christina, et al.
Published: (2024)

A Structured Estimator for large Covariance Matrices in the Presence of Pairwise and Spatial Covariates
by: Metodiev, Martin, et al.
Published: (2024)

Balancing Covariates in Survey Experiments
by: Tian, Pengfei, et al.
Published: (2026)

Eigengap Sparsity for Covariance Parsimony
by: Szwagier, Tom, et al.
Published: (2025)

Parsimonious Clustering of Covariance Matrices
by: Xu, Yixi, et al.
Published: (2025)

CALF-SBM: A Covariate-Assisted Latent Factor Stochastic Block Model
by: Louit, Sydney, et al.
Published: (2025)

On the Impact of Spatial Covariance Matrix Ordering on Tile Low-Rank Estimation of Matérn Parameters
by: Chen, Sihan, et al.
Published: (2024)

Beyond Reweighting: On the Predictive Role of Covariate Shift in Effect Generalization
by: Jin, Ying, et al.
Published: (2024)

Clustered Covariate Regression
by: Soale, Abdul-Nasah, et al.
Published: (2023)

Predictive Uncertainty Quantification with Missing Covariates
by: Zaffran, Margaux, et al.
Published: (2024)

Optimal Correlation for Bernoulli Trials with Covariates
by: Morrison, Tim, et al.
Published: (2024)

Covariate-dependent hierarchical Dirichlet processes
by: Zhang, Huizi, et al.
Published: (2024)

Distance Covariance, Independence, and Pairwise Differences
by: Raymaekers, Jakob, et al.
Published: (2024)

Identifiability of Latent Class Models with Covariates
by: Ouyang, Jing, et al.
Published: (2021)

Spectral Clustering on Multilayer Networks with Covariates
by: Zhao, Da, et al.
Published: (2025)

How Balanced Should Causal Covariates Be?
by: Kaul, Shiva, et al.
Published: (2025)

Covariance Regression based on Basis Expansion
by: Bak, Kwan-Young, et al.
Published: (2025)

Adjusting for bias due to measurement error in functional quantile regression models with error-prone functional and scalar covariates
by: Chen, Xiwei, et al.
Published: (2024)

Scalable regression calibration approaches to correcting measurement error in multi-level generalized functional linear regression models with heteroscedastic measurement errors
by: Luan, Yuanyuan, et al.
Published: (2023)

Tree-aggregated regression for compositional data with measurement errors
by: Li, Zhenghan, et al.
Published: (2026)

Covariate Shift Corrected Conditional Randomization Test
by: Xu, Bowen, et al.
Published: (2024)

Covariate Adjusted Functional Mixed Membership Models
by: Marco, Nicholas, et al.
Published: (2024)

Multilevel Regression Modeling of Covariance Matrix Outcomes
by: Green, Michelle Murphy, et al.
Published: (2026)

Automatic Debiased Machine Learning for Covariate Shifts
by: Chernozhukov, Victor, et al.
Published: (2023)

Balanced Subsampling for Big Data with Categorical Covariates
by: Wang, Lin
Published: (2022)

Improve Power of Knockoffs with Annotation Information of Covariates
by: Zhang, Xiangyu, et al.
Published: (2026)

Covariate-moderated Empirical Bayes Matrix Factorization
by: Denault, William R. P., et al.
Published: (2025)

Fair Conformal Prediction for Incomplete Covariate Data
by: Kong, Jingsen, et al.
Published: (2025)

Multiview Graph Fusion with Covariates
by: Guha, Sharmistha, et al.
Published: (2026)