Data underlying the publication: 'The Bayesian Finite Element Method in Inverse Problems: a Critical Comparison between Probabilistic Models for Discretization Error'

Two datasets to accompany the paper 'The Bayesian Finite Element Method in Inverse Problems: a Critical Comparison between Probabilistic Models for Discretization Error' by Anne Poot, Iuri Rocha, Pierre Kerfriden and Frans van der Meer. Both datasets are MCMC samples generated following the procedure described in section 2.6 of the paper. The first dataset, pullout-bar.zip, is associated with section 3.1.1 of the paper. The second dataset, three-point-hole.zip, is associated with section 3.2.1 of the paper. The code to reproduce these datasets is available via the git repository linked below, in the probfem/experiments/reproduction/inverse/ directory.

本数据集配套于Anne Poot、Iuri Rocha、Pierre Kerfriden与Frans van der Meer合著的论文《逆问题中的贝叶斯有限元法：离散化误差概率模型的批判性比较》。两套数据集均为按照论文第2.6节所述流程生成的马尔可夫链蒙特卡洛（Markov Chain Monte Carlo, MCMC）采样结果。其中第一个数据集pullout-bar.zip对应论文第3.1.1节，第二个数据集three-point-hole.zip对应论文第3.2.1节。可通过下文链接指向的Git代码库中probfem/experiments/reproduction/inverse/目录获取复现上述数据集的代码。