3 papers
stat.AP2024
Towards Improved Uncertainty Quantification of Stochastic Epidemic Models Using Sequential Monte Carlo
Arindam Fadikar, Abby Stevens, Nicholson Collier +6
Sequential Monte Carlo (SMC) algorithms represent a suite of robust computational methodologies utilized for state estimation and parameter inference within dynamical systems, part…
q-bio.PE2023
Agent-based modeling of the COVID-19 pandemic in Florida
Alexander N. Pillai, Kok Ben Toh, Dianela Perdomo +5
The onset of the COVID-19 pandemic drove a widespread, often uncoordinated effort by research groups to develop mathematical models of SARS-CoV-2 to study its spread and inform con…
stat.AP2023
Trajectory-oriented optimization of stochastic epidemiological models
Arindam Fadikar, Mickael Binois, Nicholson Collier +3
Epidemiological models must be calibrated to ground truth for downstream tasks such as producing forward projections or running what-if scenarios. The meaning of calibration change…