Synthetic Data Generation With Incomplete Survey Data Under Informative Sampling
Fuente:
arXiv
Saved in:
| Main Authors: | Almomani, Ayat, Chang, Won, Hwang, Youngdeok, Kim, Young Min, Kim, Hang J. |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Synthetic Data, Information, and Prior Knowledge: Why Synthetic Data Augmentation to Boost Sample Doesn't Work for Statistical Inference
by: Dale, Reid, et al.
Published: (2026)
by: Dale, Reid, et al.
Published: (2026)
Statistics in Survey Sampling
by: Kim, Jae Kwang
Published: (2024)
by: Kim, Jae Kwang
Published: (2024)
Fully Synthetic Data for Complex Surveys
by: Mathur, Shirley, et al.
Published: (2023)
by: Mathur, Shirley, et al.
Published: (2023)
Fair Conformal Prediction for Incomplete Covariate Data
by: Kong, Jingsen, et al.
Published: (2025)
by: Kong, Jingsen, et al.
Published: (2025)
Sparse Sensor Allocation for Inverse Problems of Detecting Sparse Leaking Emission Sources
by: Liu, Xinchao, et al.
Published: (2025)
by: Liu, Xinchao, et al.
Published: (2025)
Efficient Multiple-Robust Estimation for Nonresponse Data Under Informative Sampling
by: Morikawa, Kosuke, et al.
Published: (2023)
by: Morikawa, Kosuke, et al.
Published: (2023)
Robust Sequential Hypothesis Testing with Generalized Estimating Equations for Incomplete Clustered and Longitudinal Data
by: Provost, Nathan T., et al.
Published: (2026)
by: Provost, Nathan T., et al.
Published: (2026)
Neural Parameter Estimation with Incomplete Data
by: Sainsbury-Dale, Matthew, et al.
Published: (2025)
by: Sainsbury-Dale, Matthew, et al.
Published: (2025)
Bayesian Estimation of Hierarchical Linear Models from Incomplete Data: Cluster-Level Interaction Effects and Small Sample Sizes
by: Shin, Dongho, et al.
Published: (2024)
by: Shin, Dongho, et al.
Published: (2024)
A Random-Effects Approach to Generalized Linear Mixed Model Analysis of Incomplete Longitudinal Data
by: Nguyen, Thuan, et al.
Published: (2024)
by: Nguyen, Thuan, et al.
Published: (2024)
Causal Synthetic Data Generation in Recruitment
by: Iommi, Andrea, et al.
Published: (2025)
by: Iommi, Andrea, et al.
Published: (2025)
Semiparametric Efficient Data Integration Using the Dual-Frame Sampling Framework
by: Morikawa, Kosuke, et al.
Published: (2026)
by: Morikawa, Kosuke, et al.
Published: (2026)
Data-Driven Sequential Sampling for Tail Risk Mitigation
by: Ahn, Dohyun, et al.
Published: (2025)
by: Ahn, Dohyun, et al.
Published: (2025)
Counterfactual Q Learning via the Linear Buckley James Method for Longitudinal Survival Data
by: Lee, Jeongjin, et al.
Published: (2025)
by: Lee, Jeongjin, et al.
Published: (2025)
A Communication-Efficient Distributed Algorithm for Learning with Heterogeneous and Structurally Incomplete Multi-Site Data
by: Liu, Xiaokang, et al.
Published: (2025)
by: Liu, Xiaokang, et al.
Published: (2025)
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)
Nonparametric Bayesian Knockoff Generators for Feature Selection Under Complex Data Structure
by: Martens, Michael J., et al.
Published: (2021)
by: Martens, Michael J., et al.
Published: (2021)
Combining Incomplete Observational and Randomized Data for Heterogeneous Treatment Effects
by: Yao, Dong, et al.
Published: (2024)
by: Yao, Dong, et al.
Published: (2024)
Modified Tests of Linear Hypotheses Under Heteroscedasticity for Multivariate Functional Data with Finite Sample Sizes
by: Zhu, Tianming
Published: (2025)
by: Zhu, Tianming
Published: (2025)
Federated Learning with Incomplete Data: When to Use Complete Cases and When to Weight
by: Vazquez, Jesus E., et al.
Published: (2026)
by: Vazquez, Jesus E., et al.
Published: (2026)
GLM Inference with AI-Generated Synthetic Data Using Misspecified Linear Regression
by: Keret, Nir, et al.
Published: (2025)
by: Keret, Nir, et al.
Published: (2025)
Hard and Soft EM in Bayesian Network Learning from Incomplete Data
by: Ruggieri, Andrea, et al.
Published: (2020)
by: Ruggieri, Andrea, et al.
Published: (2020)
Synthetic Control Method with Mixed Frequency Data
by: Zhang, Lu, et al.
Published: (2026)
by: Zhang, Lu, et al.
Published: (2026)
Compatible Imputation for Hierarchical Linear Models with Incomplete Data: Interaction Effects of Continuous and Categorical Covariates MAR
by: Shin, Dongho, et al.
Published: (2025)
by: Shin, Dongho, et al.
Published: (2025)
Efficient Estimation Under Data Fusion
by: Li, Sijia, et al.
Published: (2021)
by: Li, Sijia, et al.
Published: (2021)
PAIR-CI: Calibrated Conditional Independence Testing for Causal Discovery with Incomplete Data
by: Robinson, Thomas S., et al.
Published: (2026)
by: Robinson, Thomas S., et al.
Published: (2026)
Sample Size and Bias Approximations For Continuous Exposures Measured with Error
by: Kim, Honghyok
Published: (2024)
by: Kim, Honghyok
Published: (2024)
PCA, SVD, and Centering of Data
by: Kim, Donggun, et al.
Published: (2023)
by: Kim, Donggun, et al.
Published: (2023)
Sequential Bayesian Registration for Functional Data
by: Kim, Yoonji, et al.
Published: (2022)
by: Kim, Yoonji, et al.
Published: (2022)
Bayesian Model Calibration and Sensitivity Analysis for Oscillating Biological Experiments
by: Hwang, Youngdeok, et al.
Published: (2021)
by: Hwang, Youngdeok, et al.
Published: (2021)
Sparse Bayesian Partially Identified Models for Sequence Count Data
by: Gu, Won, et al.
Published: (2025)
by: Gu, Won, et al.
Published: (2025)
The Effect of Alcohol intake on Brain White Matter Microstructural Integrity: A New Causal Inference Framework for Incomplete Phenomic Data
by: Chen, Chixiang, et al.
Published: (2023)
by: Chen, Chixiang, et al.
Published: (2023)
Generative AI-Based Monte Carlo Simulation for Method Evaluation Using Synthetic Multilevel Data
by: Suk, Youmi, et al.
Published: (2026)
by: Suk, Youmi, et al.
Published: (2026)
A Calibration Framework for Inference with Partially Observed Data
by: Pervin, Mst Moushumi, et al.
Published: (2026)
by: Pervin, Mst Moushumi, et al.
Published: (2026)
Modeling Ordinal Survey Data with Unfolding Models
by: Lei, Rayleigh, et al.
Published: (2026)
by: Lei, Rayleigh, et al.
Published: (2026)
Generative Synthetic Data for Causal Inference: Pitfalls, Remedies, and Opportunities
by: Xu, Yichen
Published: (2026)
by: Xu, Yichen
Published: (2026)
Efficient Data Reduction Strategies for Big Data and High-Dimensional LASSO Regressions
by: Wang, Xin, et al.
Published: (2024)
by: Wang, Xin, et al.
Published: (2024)
Identification of Emotionally Stressful Periods Through Tracking Changes in Statistical Features of mHealth Data
by: Kim, Younghoon, et al.
Published: (2025)
by: Kim, Younghoon, et al.
Published: (2025)
Design-Based Inference for the AUC with Complex Survey Data
by: Iparragirre, Amaia, et al.
Published: (2026)
by: Iparragirre, Amaia, et al.
Published: (2026)
Mixing Samples to Address Weak Overlap in Causal Inference
by: Jang, Jaehyuk, et al.
Published: (2024)
by: Jang, Jaehyuk, et al.
Published: (2024)
Similar Items
-
Synthetic Data, Information, and Prior Knowledge: Why Synthetic Data Augmentation to Boost Sample Doesn't Work for Statistical Inference
by: Dale, Reid, et al.
Published: (2026) -
Statistics in Survey Sampling
by: Kim, Jae Kwang
Published: (2024) -
Fully Synthetic Data for Complex Surveys
by: Mathur, Shirley, et al.
Published: (2023) -
Fair Conformal Prediction for Incomplete Covariate Data
by: Kong, Jingsen, et al.
Published: (2025) -
Sparse Sensor Allocation for Inverse Problems of Detecting Sparse Leaking Emission Sources
by: Liu, Xinchao, et al.
Published: (2025)