Develops a locally optimal design criterion for A/B testing on undirected networks under a CAR model that accounts for treatment, covariates, and network-induced correlations, with robustness checks via examples.
(2021), Covariate balancing based on kernel density estimates for controlled experiments, Statistical Theory and Related Fields, 5, 102--113
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Locally Optimal Design for A/B Testing in the Presence of Covariates and Network Connection
Develops a locally optimal design criterion for A/B testing on undirected networks under a CAR model that accounts for treatment, covariates, and network-induced correlations, with robustness checks via examples.