2 papers
stat.ME2026
Scalable calibration of individual-based epidemic models through categorical approximations
Lorenzo Rimella, Nick Whiteley, Chris Jewell +2
Traditional compartmental models capture population-level dynamics but fail to characterize individual-level risk. The computational cost of exact likelihood evaluation for partial…
stat.ME2025
Accelerated inference for stochastic compartmental models with over-dispersed partial observations
Michael Whitehouse
An assumed density approximate likelihood is derived for a class of partially observed stochastic compartmental models which permit observational over-dispersion. This is achieved…