Preprint
Aug 2026
Inference for subgraph densities in noisy dynamic networks
By specifying a stochastically evolving hidden Markov network model, this work addresses two important directions for further investigation identified by Chang et al. (2022): robustness to non-identical network replicates, and efficient aggregation of multiple available network snapshots.
Peter W. MacDonald, E. Kolaczyk
· 1 citation