arxiv
PublishedSeptember 1, 2026 at 4:00 AM
AI-Generated Measurements for Identification and Inference with Missing Data: A Weak Shadow Variable Approach
Publisher summary· verbatim
arXiv:2602.16061v3 Announce Type: replace-cross Abstract: Across business and social science applications, outcomes are often missing in ways that depend on the unobserved outcomes themselves. In service systems, for example, whether a customer submits a rating depends on the rating they would have
Stay posted· Newsletter
Three short emails a week: Monday, Wednesday and Friday. Top movers, new models and the most-referenced story.
Your email is used only to send The Bubble Brief. Privacy policy
Discussion
No replies yet. Be first.
Related coverage
More from ARXIV
arxivOptimal Hydra: Model Heterogeneous Federated Learning for LLMs using Data-Informed Hydra-Nets17harxivJudging the Judges: Confidence and Disagreement in Rubrics as Rewards17harxivContent associations with answer selection and engagement in supply chain community question answering17harxivORACLE-SWE: Quantifying the Contribution of Critical Information Signals on SWE Agents17hThe Bubble Brief
MON · WED · FRIRead AI insights every Monday, Wednesday and Friday — top movers, new models, story of the week.
Your email is used only to send The Bubble Brief. Privacy policy
Originally published on arxiv ↗