:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Tang, Huiyun, Wang, Feifei, Feng, Long, Li, Yang
Format:	Preprint
Published:	2025
Subjects:	Methodology
Online Access:	https://arxiv.org/abs/2511.21278
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Data Privatization in Vertical Federated Learning with Client-wise Missing Problem
by: Tang, Huiyun, et al.
Published: (2025)

Conformal Inference For Missing Data under Multiple Robust Learning
by: Tang, Wenlu, et al.
Published: (2025)

Factor-Assisted Federated Learning for Personalized Optimization with Heterogeneous Data
by: Wang, Feifei, et al.
Published: (2023)

Imputing Missing Values with External Data
by: Thiesmeier, Robert, et al.
Published: (2024)

Constructing a T-test for Value Function Comparison of Individualized Treatment Regimes in the Presence of Multiple Imputation for Missing Data
by: Lu, Minxin, et al.
Published: (2023)

Integrating Multiple Data Sources with Interactions in Multi-Omics Using Cooperative Learning
by: D'Alessandro, Matteo, et al.
Published: (2024)

Learning Shared and Source-specific Subspaces across Multiple Data Sources for Functional Data
by: Zhang, Chi, et al.
Published: (2025)

Adaptive Decentralized Federated Learning for Robust Optimization
by: Wu, Shuyuan, et al.
Published: (2025)

A Multiplicative Instrumental Variable Model for Data Missing Not-at-Random
by: Zhang, Yunshu, et al.
Published: (2025)

Adaptive Learning with Blockwise Missing and Semi-Supervised Data
by: Li, Yiming, et al.
Published: (2024)

Missing Values Handling for Machine Learning Portfolios
by: Chen, Andrew Y., et al.
Published: (2022)

Parametric MMD Estimation with Missing Values: Robustness to Missingness and Data Model Misspecification
by: Chérief-Abdellatif, Badr-Eddine, et al.
Published: (2025)

On Doubly Robust Estimation with Nonignorable Missing Data Using Instrumental Variables
by: Sun, Baoluo, et al.
Published: (2023)

Scalable Vertical Federated Learning via Data Augmentation and Amortized Inference
by: Hassan, Conor, et al.
Published: (2024)

Linear Shrinkage Convexification of Penalized Linear Regression With Missing Data
by: Park, Seongoh, et al.
Published: (2024)

Evaluation of Missing Data Analytical Techniques in Longitudinal Research: Traditional and Machine Learning Approaches
by: Tang, Dandan, et al.
Published: (2024)

A Novel Approach for Data Integration with Multiple Heterogeneous Data Sources
by: Shamsi, Farimah, et al.
Published: (2025)

Generalizing Trimming Bounds for Endogenously Missing Outcome Data Using Random Forests
by: Samii, Cyrus, et al.
Published: (2023)

Hierarchical Dirichlet Process Mixture of Products of Multinomial Distributions: Applications to Survey Data with Potentially Missing Values
by: Wongkamthong, Chayut
Published: (2024)

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

Conditional Predictive Inference for Missing Outcomes
by: Lee, Yonghoon, et al.
Published: (2024)

Imputing With Predictive Mean Matching Can Be Severely Biased When Values Are Missing At Random
by: von Hippel, Paul T.
Published: (2025)

Prediction with Missing Data: Target Probabilities and Missingness Mechanisms
by: Catoire, Pierre, et al.
Published: (2026)

Variational Bayesian Multiple Imputation in High-Dimensional Regression Models With Missing Responses
by: Li, Qiushuang, et al.
Published: (2025)

Imputation of Nonignorable Missing Data in Surveys Using Auxiliary Margins Via Hot Deck and Sequential Imputation
by: Yang, Yanjiao, et al.
Published: (2024)

Outcome-Assisted Multiple Imputation of Missing Treatments
by: Feldman, Joseph, et al.
Published: (2025)

Compatibility of Missing Data Handling Methods across the Stages of Producing Clinical Prediction Models
by: Tsvetanova, Antonia, et al.
Published: (2025)

Incorporating Missing Data Considerations into Sample Size Calculations for Developing Clinical Prediction Models
by: Martin, Glen P., et al.
Published: (2026)

Adaptive Sphericity Tests for High Dimensional Data
by: Zhao, Ping, et al.
Published: (2024)

Efficient Estimation under Multiple Missing Patterns via Balancing Weights
by: Dong, Jianing, et al.
Published: (2025)

High-Dimensional Data Analysis for Elliptically Symmetric Distributions
by: Feng, Long
Published: (2026)

Transfer Learning for Robust Structured Regression with Bi-level Source Detection
by: Shi, Haoming, et al.
Published: (2026)

Enhancing Data Completeness in Time Series: Imputation Strategies for Missing Data Using Significant Periodically Correlated Components
by: Ahmad, Asmaa, et al.
Published: (2025)

Robust Clustered Federated Learning for Heterogeneous High-dimensional Data
by: Yang, Changxin, et al.
Published: (2025)

Perturbation-based Inference for Extreme Value Index
by: Tang, Yiwei, et al.
Published: (2025)

Estimation of Semiparametric Factor Models with Missing Data
by: Zheng, Sijie
Published: (2025)

Balancing Weights for Non-monotone Missing Data
by: Dong, Jianing, et al.
Published: (2024)

Multi-environment Invariance Learning with Missing Data
by: Jia, Yiran, et al.
Published: (2026)

Score Matching With Missing Data
by: Givens, Josh, et al.
Published: (2025)

High dimensional Mean Test for Temporal Dependent Data
by: Hu, Yuchen, et al.
Published: (2025)