4 papers
Scalable Approximate Bayesian Computation for Growing Network Models via Extrapolated and Sampled Summaries
Louis Raynal, Sixing Chen, Antonietta Mira +1
Approximate Bayesian computation (ABC) is a simulation-based likelihood-free method applicable to both model selection and parameter estimation. ABC parameter estimation requires t…
Efficient vaccination strategies for epidemic control using network information
Yingrui Yang, Ashley McKhann, Sixing Chen +2
Network-based interventions against epidemic spread are most powerful when the full network structure is known. However, in practice, resource constraints require decisions to be m…
A Bootstrap Method for Goodness of Fit and Model Selection with a Single Observed Network
Sixing Chen, Jukka-Pekka Onnela
Network models are applied in numerous domains where data can be represented as a system of interactions among pairs of actors. While both statistical and mechanistic network model…
Flexible model selection for mechanistic network models
Sixing Chen, Antonietta Mira, Jukka-Pekka Onnela
Network models are applied across many domains where data can be represented as a network. Two prominent paradigms for modeling networks are statistical models (probabilistic model…