15 citations · 19 across the 2 of their papers we have counts for
3 papers
pyABC: Efficient and robust easy-to-use approximate Bayesian computation
Yannik Schälte, Emmanuel Klinger, Emad Alamoudi +1
The Python package pyABC provides a framework for approximate Bayesian computation (ABC), a likelihood-free parameter inference method popular in many research areas. At its core,…
AMICI: High-Performance Sensitivity Analysis for Large Ordinary Differential Equation Models
Fabian Fröhlich, Daniel Weindl, Yannik Schälte +5
Ordinary differential equation models facilitate the understanding of cellular signal transduction and other biological processes. However, for large and comprehensive models, the…
Inferring the effect of interventions on COVID-19 transmission networks
Simon Syga, Diana David-Rus, Yannik Schälte +3
Countries around the world implement nonpharmaceutical interventions (NPIs) to mitigate the spread of COVID-19. Design of efficient NPIs requires identification of the structure of…