tag:joss.theoj.org,2005:/papers/by/Jan-Matthis%20LueckmannJournal of Open Source Software2020-08-21T10:16:39ZJournal of Open Source Softwarehttps://joss.theoj.orgtag:joss.theoj.org,2005:Paper/18542020-08-21T10:16:39Z2021-02-15T11:30:16Zsbi: A toolkit for simulation-based inferenceacceptedv0.10.02020-07-14 13:30:40 UTC522020-08-21 10:16:39 UTC520202505AlvaroTejero-CanteroEqually contributing authors, Computational Neuroengineering, Department of Electrical and Computer Engineering, Technical University of Munich0000-0002-8768-4227JanBoeltsEqually contributing authors, Computational Neuroengineering, Department of Electrical and Computer Engineering, Technical University of Munich0000-0003-4979-7092MichaelDeistlerEqually contributing authors, Computational Neuroengineering, Department of Electrical and Computer Engineering, Technical University of Munich0000-0002-3573-0404Jan-MatthisLueckmannEqually contributing authors, Computational Neuroengineering, Department of Electrical and Computer Engineering, Technical University of Munich0000-0003-4320-4663ConorDurkanEqually contributing authors, School of Informatics, University of Edinburgh0000-0001-9333-7777PedroJ.GonçalvesComputational Neuroengineering, Department of Electrical and Computer Engineering, Technical University of Munich, Neural Systems Analysis, Center of Advanced European Studies and Research (caesar), Bonn0000-0002-6987-4836DavidS.GreenbergComputational Neuroengineering, Department of Electrical and Computer Engineering, Technical University of Munich, Model-Driven Machine Learning, Centre for Materials and Coastal Research, Helmholtz-Zentrum Geesthacht0000-0002-8515-0459JakobH.MackeComputational Neuroengineering, Department of Electrical and Computer Engineering, Technical University of Munich, Machine Learning in Science, University of Tübingen, Empirical Inference, Max Planck Institute for Intelligent Systems, Tübingen0000-0001-5154-891210.21105/joss.02505https://doi.org/10.5281/zenodo.3993098Python, Jupyter Notebookhttps://joss.theoj.org/papers/10.21105/joss.02505.pdfsimulation science, likelihood-free inference, bayesian inference, system identification, parameter identification