Causal k-Means Clustering applies k-means to estimated counterfactual functions via plug-in and double machine learning bias-corrected estimators to identify subgroups with heterogeneous treatment effects and achieves root-n rates.
Therefore, P{φC∗(Z; ˆη)−φC∗(Z;η)}≲ maxa ∥ˆµa−µa∥∥ˆπa−πa∥ + maxa ∥ˆµa−µa∥α+1 ∞ + 1 κmaxa ∥ˆµa−µa∥∞∥ˆµa−µa∥P,1 1(p)
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
stat.ME 1years
2024 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Causal K-Means Clustering
Causal k-Means Clustering applies k-means to estimated counterfactual functions via plug-in and double machine learning bias-corrected estimators to identify subgroups with heterogeneous treatment effects and achieves root-n rates.