Proposes an augmented weighted estimator via kernel functional balancing over a joint RKHS for causal inference with compositional treatments, claiming sqrt(n)-consistency and asymptotic normality around a sample-specific target.
Hirshberg and Stefan Wager , title =
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
stat.ME 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Kernel-Based Functional Balancing for Causal Inference with Compositional Treatments
Proposes an augmented weighted estimator via kernel functional balancing over a joint RKHS for causal inference with compositional treatments, claiming sqrt(n)-consistency and asymptotic normality around a sample-specific target.