1 citations · 1 across the 3 of their papers we have counts for
4 papers
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…
Detecting Outbreaks Using a Latent Field: Part II -- Scalable Estimation
Wyatt Bridgman, Cosmin Safta, Jaideep Ray
In this paper, we explore whether the infection-rate of a disease can serve as a robust monitoring variable in epidemiological surveillance algorithms. The infection-rate is depend…
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…
Detecting Outbreaks Using a Latent Field: Part I -- Spatial Modeling
Cosmin Safta, Wyatt Bridgman, Jaideep Ray
In this paper, we develop a method to estimate the infection-rate of a disease, over a region, as a field that varies in space and time. To do so, we use time-series of case-counts…