1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.SI2025
Approximate Bayesian Inference on Mechanisms of Network Growth and Evolution
Maxwell H Wang, Till Hoffmann, Jukka-Pekka Onnela
Mechanistic models can provide an intuitive and interpretable explanation of network growth by specifying a set of generative rules. These rules can be defined by domain knowledge…
q-bio.PE2024★ 1 cited
Accounting for contact network uncertainty in epidemic inferences
Maxwell H. Wang, Jukka-Pekka Onnela
When modeling the dynamics of infectious disease, the incorporation of contact network information allows for the capture of the non-randomness and heterogeneity of realistic conta…
q-bio.PE2023
Flexible Bayesian Inference on Partially Observed Epidemics
Maxwell H. Wang, Jukka-Pekka Onnela
Individual-based models of contagious processes are useful for predicting epidemic trajectories and informing intervention strategies. In such models, the incorporation of contact…