Chencheng Cai

Independent-Set Design of Experiments for Estimating Treatment and Spillover Effects under Network Interference

Interference is ubiquitous when conducting causal experiments over networks. Except for certain network structures, causal inference on the network in the presence of interference is difficult due to the entanglement between the treatment assignments and the interference levels. In this article, we…