Doubly robust target inference for generalized linear regression with completely missing covariates

arXiv:2609.24086 · stat.ME, math.ST, stat.ML, stat.TH · Submitted 2026-09-21 · Read on arXiv

stat.ME, math.ST, stat.ML, stat.TH

Submitted: 2026-09-21

Updated: 2026-09-21

Comments: 22 pages, 5 tables

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Benchmark — 11× in this paper · explained in 2 episodes
• Transfer Learning — 11× in this paper · explained in 10 episodes
• Robustness — 7× in this paper · explained in 5 episodes
• Consistency — 5× in this paper · explained in 3 episodes
• Accuracy — 1× in this paper · explained in 1 episode
• Causal Inference — 1× in this paper · explained in 4 episodes
• Covariate Shift — 1× in this paper · explained in 2 episodes
• Distribution Shift — 1× in this paper · explained in 6 episodes
• Empirical Coverage — 1× in this paper · explained in 2 episodes
• National Health and Nutrition Examination Survey — 1× in this paper

Sources

• Prediction-Powered Inference with Imputed Covariates and Nonuniform Sampling
• Transfer Learning with General Estimating Equations
• Augmented transfer regression learning for completely missing covariates
• Domain Adaptation Targeting Heterogeneous and Imbalanced Subgroups

Related papers

• Doubly robust inference via calibration
• Bayesian Empirical Bayes: Simultaneous Inference from Probabilistic Symmetries
• Flexible Nonparametric Inference for Causal Effects under the Front-Door Model
• Deployment of AI-Assisted Interventions: Capacity Constraints and Noisy Compliance
• A Survey on Archetypal Analysis
• Dynamic Spatial Bayesian Machine Learning Model: Applications to Intergenerational Economic Mobility and Geographic Income Inequality in the United States