Invariance of Clustering Operations in Causal Effect Identification
arXiv:2610.03101v1 Announce Type: new Abstract: Clustering variables in causal graphs reduces the size of the graph and simplifies causal inference. However, arbitrary clustering can alter crucial causal relations among variables and lead to erroneous conclusions. While the identifiability of a cau…
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- 2026-10-05 04:00 · arXiv stat.ML
Invariance of Clustering Operations in Causal Effect Identification