3 papers
stat.ME2026
Covariate Selection for Joint Latent Space Modeling of Sparse Network Data
Emma G Crenshaw, Yuhua Zhang, Jukka-Pekka Onnela
Network data are increasingly common in the social sciences and infectious disease epidemiology. Analyses often link network structure to node-level covariates, but existing method…
stat.ME2025
Identification and Estimation of Heterogeneous Interference Effects under Unknown Network
Yuhua Zhang, Jukka-Pekka Onnela, Shuo Sun +1
Interference--in which a unit's outcome is affected by the treatment of other units--poses significant challenges for the identification and estimation of causal effects. Most exis…
stat.ME2025
Community Detection through Recursive Partitioning in Bayesian Framework
Yuhua Zhang, Kori S. Zachrison, Renee Y. Hsia +1
Community detection involves grouping the nodes in the network and is one of the most-studied tasks in network science. Conventional methods usually require the specification of th…