UltraNest --一个健壮的通用贝叶斯推断引擎
UltraNest -- a robust, general purpose Bayesian inference engine
摘要：
UltraNest是一个用于参数估计和模型比较的通用贝叶斯推断包。它允许拟合指定为用Python、C、C++、Fortran、Julia或R编写的似然函数的任意模型。UltraNest专注于正确性和速度（按此顺序），特别适用于多模态或非高斯参数空间，计算昂贵的模型，在强大的管道中。可对计算集群进行并行化并恢复未完成的运行。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
