37 citations · 37 across the 2 of their papers we have counts for
2 papers
q-bio.QM2023
A Wall-time Minimizing Parallelization Strategy for Approximate Bayesian Computation
Emad Alamoudi, Felipe Reck, Nils Bundgaard +4
Approximate Bayesian Computation (ABC) is a widely applicable and popular approach to estimating unknown parameters of mechanistic models. As ABC analyses are computationally expen…
stat.AP2020★ 37 cited
OutbreakFlow: Model-based Bayesian inference of disease outbreak dynamics with invertible neural networks and its application to the COVID-19 pandemics in Germany
Stefan T. Radev, Frederik Graw, Simiao Chen +4
Mathematical models in epidemiology are an indispensable tool to determine the dynamics and important characteristics of infectious diseases. Apart from their scientific merit, the…