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Statistical Identification of Primary Adjustment Sets From Data
Sourced from the work of F. Richard Guo, Qingyuan Zhao
§ Problem Statement
Setup
Unsolved Problem
§ Discussion
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§ Significance & Implications
§ Known Partial Results
§ References
[1]
Confounder Selection via Iterative Graph Expansion
F. Richard Guo, Qingyuan Zhao (2023)
Annals of Statistics (to appear)
📍 Section 5.4 (Finding primary adjustment sets), open problem statement on whether/how primary adjustment sets can be statistically learned/identified from data (no numbered conjecture/remark).
Source paper where this problem appears.