sbi reloaded: a toolkit for simulation-based inference workflows

Boelts, Jan; Deistler, Michael; Gloeckler, Manuel; Tejero-Cantero, Álvaro; Lueckmann, Jan-Matthis; Moss, Guy; Steinbach, Peter; Moreau, Thomas; Muratore, Fabio; Linhart, Julia; Durkan, Conor; Vetter, Julius; Miller, B.; Herold, Miriam; Ziaeemehr, Abolfazl; Pals, Matthijs; Gruner, Theo; Bischoff, Sebastian; Krouglova, Nastya; Gao, Richard; K. Lappalainen, Janne; Mucsányi, Bálint; Pei, Felix; Schulz, Auguste; Stefanidi, Zinovia; Luiz Coelho Rodrigues, Pedro; Schröder, Cornelius; Abu Zaid, Faried; Beck, Jonas; Kapoor, Jaivardhan; Greenberg, David; J. Gonçalves, Pedro; H. Macke, Jakob

doi:10.21105/joss.07754

Public

sbi reloaded: a toolkit for simulation-based inference workflows

Published in The Journal of Open Source Software • Apr 8, 2025

Authors:

Jan Boelts

Michael Deistler

Manuel Gloeckler

Abstract

Scientists and engineers use simulators to model empirically observed phenomena.However, tuning the parameters of a simulator to ensure its outputs match observed data presents a significant challenge.Simulation-based inference (SBI) addresses this by enabling Bayesian inference for simulators, iden...

Subject

Workflow

Computer science

Inference

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