4 citations · 4 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…
q-bio.QM2022★ 4 cited
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,…