Qini Curve Estimation under Clustered Network Interference
NeutralArtificial Intelligence
The article discusses the limitations of standard Qini curve estimation, which typically assumes no interference between units when assessing treatment policies. This assumption often doesn't hold true in real-world scenarios like public policy and marketing, where the actions taken for one unit can affect others. Understanding these dynamics is crucial for accurately evaluating the effectiveness of new treatment policies, making this research significant for practitioners in various fields.
— Curated by the World Pulse Now AI Editorial System


