Know a great AI tool or AI news source? Submit it to AiByts
2 min read

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

Read the full story

Originally published by arXiv - stat.ML on Oct 5, 2026.

Read on arXiv - stat.ML(opens in a new tab)

Comments

Sign in to join the discussion.

No comments yet — be the first to share your thoughts.