UltraNest - a robust, general purpose Bayesian inference engine

Buchner, Johannes

doi:10.21105/joss.03001

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UltraNest - a robust, general purpose Bayesian inference engine

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Buchner, Johannes
High Energy Astrophysics, MPI for Extraterrestrial Physics, Max Planck Society;

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Citation

Buchner, J. (2021). UltraNest - a robust, general purpose Bayesian inference engine. The Journal of Open Source Software, 6(60). doi:10.21105/joss.03001.

Cite as: https://hdl.handle.net/21.11116/0000-000A-4B7E-6

Abstract

UltraNest is a general-purpose Bayesian inference package for parameter estimation and model
comparison. It allows fitting arbitrary models specified as likelihood functions written in
Python, C, C++, Fortran, Julia or R. With a focus on correctness and speed (in that order),
UltraNest is especially useful for multi-modal or non-Gaussian parameter spaces, computa-
tional expensive models, in robust pipelines. Parallelisation to computing clusters and resuming
incomplete runs is available.