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Research questionHow can complex causal queries be identified under non-IID data, transfer, and missing observations?Causal analysis often assumes identically distributed observations and standard intervention queries. Real data may instead come from differing environments, be transported across settings, or contain missing observations, making causal identification less direct.
AI
Machine Learning
Research Paper
Statistical Machine Learning
Latest papersRecent research connected to this question, newest first.Symmetries and Causality: Causal Effect Identification Beyond IID DataThe paper develops a formal language for statistical systems whose symmetries preserve causal mechanisms, along with formal models, queries, and identification strategies. It recovers standard IID and data-transport results while addressing broader causal queries, missing data, transfer, and robustness; the abstract does not establish empirical deployment capabilities.research paper · Sep 3, 2026
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