15 citations · 15 across the 8 of their papers we have counts for
Showing stat.MEShow all
3 papers · 1 filter
stat.ME2026
Response to: "A note on conditional densities, Bayes' rule, and recent criticisms of Bayesian inference" by Yan et al., 2026
Klaus Mosegaard, Andrew Curtis
In a recent preprint (Mosegaard and Curtis, 2024, arXiv:2411.13570v2) we analyzed the consequences of ignoring the well-known inconsistency of classical conditional probability den…
stat.ME2025
Detecting Model Misspecification in Bayesian Inverse Problems via Variational Gradient Descent
Qingyang Liu, Matthew A. Fisher, Zheyang Shen +4
Bayesian inference is optimal when the statistical model is well-specified, while outside this setting Bayesian inference can catastrophically fail; accordingly a wealth of post-Ba…
stat.ME2024★ 15 cited
Variational Prior Replacement in Bayesian Inference and Inversion
Xuebin Zhao, Andrew Curtis
Many scientific investigations require that the values of a set of model parameters are estimated using recorded data. In Bayesian inference, information from both observed data an…