UltraNest -- a robust, general purpose Bayesian inference engine
Computation
2021-04-08 v2 Instrumentation and Methods for Astrophysics
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, computational expensive models, in robust pipelines. Parallelisation to computing clusters and resuming incomplete runs is available.
Keywords
Cite
@article{arxiv.2101.09604,
title = {UltraNest -- a robust, general purpose Bayesian inference engine},
author = {Johannes Buchner},
journal= {arXiv preprint arXiv:2101.09604},
year = {2021}
}
Comments
Longer version of the paper published in JOSS. UltraNest can be found at https://johannesbuchner.github.io/UltraNest/