Cover Image

Gaussian Copula Models for Nonignorable Missing Data Using Auxiliary Marginal Quantiles

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Feldman, Joseph, Reiter, Jerome P., Kowal, Daniel R.
Format:	Preprint
Published:	2024
Subjects:	Methodology Applications Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

Bayesian Quantile Regression with Subset Selection: A Decision Analysis Perspective
by: Feldman, Joseph, et al.
Published: (2023)

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

Improving the Validity and Practical Usefulness of AI/ML Evaluations Using an Estimands Framework
by: Binette, Olivier, et al.
Published: (2024)

On Using Large Language Models to Enhance Clinically-Driven Missing Data Recovery Algorithms in Electronic Health Records
by: Lotspeich, Sarah C., et al.
Published: (2025)

Bayesian Bootstrap based Gaussian Copula Model for Mixed Data with High Missing Rates
by: Kim, Seongmin, et al.
Published: (2025)

Multi-Fidelity Quantile Regression
by: Liu, Yixiang, et al.
Published: (2026)

A Copula Graphical Model for Multi-Attribute Data using Optimal Transport
by: Zhang, Qi, et al.
Published: (2024)

Robust Emax Model Fitting: Addressing Nonignorable Missing Binary Outcome in Dose-Response Analysis
by: Zhang, Jiangshan, et al.
Published: (2024)

Joint Models for Handling Non-Ignorable Missing Data using Bayesian Additive Regression Trees: Application to Leaf Photosynthetic Traits Data
by: Goh, Yong Chen, et al.
Published: (2024)

Differentially Private Bayesian Inference for Gaussian Copula Correlations
by: Wang, Shuo, et al.
Published: (2026)

A Gaussian Process Model for Ordinal Data with Applications to Chemoinformatics
by: Gosnell, Arron, 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)

Dynamic Classification of Latent Disease Progression with Auxiliary Surrogate Labels
by: Cai, Zexi, et al.
Published: (2024)

Neural Networks for Extreme Quantile Regression with an Application to Forecasting of Flood Risk
by: Pasche, Olivier C., et al.
Published: (2022)

Evaluating Binary Outcome Classifiers Estimated from Survey Data
by: Wadekar, Adway S., et al.
Published: (2023)

A Sensitivity Analysis Framework for Quantifying Confidence in Decisions in the Presence of Data Uncertainty
by: Wadekar, Adway S., et al.
Published: (2025)

Cumulative Logit Ordinal Regression with Proportional Odds under Nonignorable Missing Response -- Application to Phase III Trial
by: Maity, Arnab Kumar, et al.
Published: (2025)

Differentially Private Conformal Prediction via Quantile Binary Search
by: Romanus, Ogonnaya M., et al.
Published: (2025)

Hybrid Bernstein Normalizing Flows for Flexible Multivariate Density Regression with Interpretable Marginals
by: Arpogaus, Marcel, et al.
Published: (2025)

Prediction of Respiratory Syncytial Virus-Associated Hospitalizations Using Machine Learning Models Based on Environmental Data
by: Guo, Eric
Published: (2025)

Sparse Variational Contaminated Noise Gaussian Process Regression with Applications in Geomagnetic Perturbations Forecasting
by: Iong, Daniel, et al.
Published: (2024)

Spatially Robust Inference with Predicted and Missing at Random Labels
by: Salerno, Stephen, et al.
Published: (2026)

Integrative Learning of Dynamically Evolving Multiplex Graphs and Nodal Attributes Using Neural Network Gaussian Processes with an Application to Dynamic Terrorism Graphs
by: Rodriguez-Acosta, Jose, et al.
Published: (2026)

Super-Level-Set Regression: Conditional Quantiles via Volume Minimization
by: Braun, Sacha, et al.
Published: (2026)

Modeling Zero-Inflated Correlated Dental Data through Gaussian Copulas and Approximate Bayesian Computation
by: Mukherjee, Anish, et al.
Published: (2024)

Bayesian Pliable Lasso with Horseshoe Prior for Interaction Effects in GLMs with Missing Responses
by: Mai, The Tien
Published: (2025)

Predicting Electricity Consumption with Random Walks on Gaussian Processes
by: Hashimoto-Cullen, Chloé, et al.
Published: (2024)

Combined Quantile Forecasting for High-Dimensional Non-Gaussian Data
by: Park, Seeun, et al.
Published: (2024)

A Unified Framework for Variable Selection in Model-Based Clustering with Missing Not at Random
by: Ho, Binh H., et al.
Published: (2025)

Adaptive Gaussian Process Search for Simulation-Based Sample Size Estimation in Clinical Prediction Models: Validation of the pmsims R Package
by: Olaniran, Oyebayo Ridwan, et al.
Published: (2026)

Facilitating heterogeneous effect estimation via statistically efficient categorical modifiers
by: Kowal, Daniel R.
Published: (2024)

Robust non-parametric mortality and fertility modelling and forecasting: Gaussian process regression approaches
by: Lam, Ka Kin, et al.
Published: (2021)

Nested Atoms Model with Application to Clustering Big Population-Scale Single-Cell Data
by: Chakrabarti, Arhit, et al.
Published: (2026)

Local transfer learning Gaussian process modeling, with applications to surrogate modeling of expensive computer simulators
by: Wang, Xinming, et al.
Published: (2024)

Bayesian Federated Inference for estimating Statistical Models based on Non-shared Multicenter Data sets
by: Jonker, Marianne A., et al.
Published: (2023)

TransformerLSR: Attentive Joint Model of Longitudinal Data, Survival, and Recurrent Events with Concurrent Latent Structure
by: Zhang, Zhiyue, et al.
Published: (2024)

Salvaging Forbidden Treasure in Medical Data: Utilizing Surrogate Outcomes and Single Records for Rare Event Modeling
by: Yin, Xiaohui, et al.
Published: (2025)

ROC Analysis with Covariate Adjustment Using Neural Network Models: Evaluating the Role of Age in the Physical Activity-Mortality Association
by: Hammouri, Ziad Akram Ali, et al.
Published: (2025)

Reinforcement Learning in Modern Biostatistics: Constructing Optimal Adaptive Interventions
by: Deliu, Nina, et al.
Published: (2022)