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stat.ML2025
Advancing calibration for stochastic agent-based models in epidemiology with Stein variational inference and Gaussian process surrogates
Connor Robertson, Cosmin Safta, Nicholson Collier +2
Accurate calibration of stochastic agent-based models (ABMs) in epidemiology is crucial to make them useful in public health policy decisions and interventions. Traditional calibra…
stat.ML2024
Bayesian calibration of stochastic agent based model via random forest
Connor Robertson, Cosmin Safta, Nicholson Collier +2
Agent-based models (ABM) provide an excellent framework for modeling outbreaks and interventions in epidemiology by explicitly accounting for diverse individual interactions and en…