3 citations · 4 across the 3 of their papers we have counts for
3 papers · 1 filter
A Practitioner's Guide to Bayesian Inference in Pharmacometrics using Pumas
Mohamed Tarek, Jose Storopoli, Casey Davis +4
This paper provides a comprehensive tutorial for Bayesian practitioners in pharmacometrics using Pumas workflows. We start by giving a brief motivation of Bayesian inference for ph…
Fusing Low-Latency Data Feeds with Death Data to Accurately Nowcast COVID-19 Related Deaths
Conor Rosato, Robert E. Moore, Matthew Carter +3
The emergence of the novel coronavirus (COVID-19) has generated a need to quickly and accurately assemble up-to-date information related to its spread. While it is possible to use…
Simulation-Driven COVID-19 Epidemiological Modeling with Social Media
Jose Storopoli, Andre Luis Marques Ferreira dos Santos, Alessandra Cristina Guedes Pellini +1
Modern Bayesian approaches and workflows emphasize in how simulation is important in the context of model developing. Simulation can help researchers understand how the model behav…