Causal and Structural Inference for Heterogeneous Network Interference — NSF Award to Pennsylvania State Univ University Park (PA,
Network interference is a fundamental driving force behind phenomena such as intervention spillover, behavioral contagion, and information diffusion in interconnected systems. In this project, the investigator aims to develop statistical methods to understand and quantify whether, and to what extent, an individual’s be
| Award title | Causal and Structural Inference for Heterogeneous Network Interference |
|---|---|
| Award ID | 2515698 |
| Awardee | Pennsylvania State Univ University Park |
| City | UNIVERSITY PARK |
| State | PA |
| Amount obligated | $155,647 |
| Principal investigator | Yubai Yuan |
| Program | STATISTICS |
| Start date | 07/15/2025 |
| Abstract | Network interference is a fundamental driving force behind phenomena such as intervention spillover, behavioral contagion, and information diffusion in interconnected systems. In this project, the investigator aims to develop statistical methods to understand and quantify whether, and to what extent, an individual’s behavior or status is influenced by others through network interactions. This project focuses on two central challenges in estimating network interference from observational data: in |
| Source | NSF Awards |
$799/mo
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