13 citations · 24 across the 11 of their papers we have counts for
3 papers · 1 filter
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…
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…
Characterization and valuation of uncertainty of calibrated parameters in stochastic decision models
Fernando Alarid-Escudero, Amy B. Knudsen, Jonathan Ozik +2
We evaluated the implications of different approaches to characterize uncertainty of calibrated parameters of stochastic decision models (DMs) in the quantified value of such uncer…