Showing cs.CEShow all
2 papers · 1 filter
cs.CE2023
A Bayesian model calibration framework for stochastic compartmental models with both time-varying and time-invariant parameters
Brandon Robinson, Philippe Bisaillon, Jodi D. Edwards +4
We consider state and parameter estimation for compartmental models having both time-varying and time-invariant parameters. Though the described Bayesian computational framework is…
cs.CE2022
Scalable Computational Algorithms for Geo-spatial Covid-19 Spread in High Performance Computing
Sudhi P. V., Victorita Dolean, Pierre Jolivet +4
A nonlinear partial differential equation (PDE) based compartmental model of COVID-19 provides a continuous trace of infection over space and time. Finer resolutions in the spatial…