Invariance of Clustering Operations in Causal Effect Identification
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.
By Jani Nyk\"anen, Otto Tabell, Santtu Tikka, Juha KarvanenarXiv - stat.ML
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Originally published by arXiv - stat.ML on Oct 5, 2026.
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