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stat.ME2020
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…
stat.ME2018
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…
stat.ME2018
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…