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.