2 papers
stat.ME2026
Robust Model Selection for Discovery of Latent Mechanistic Processes
Jiawei Li, Nguyen Nguyen, Meng Lai +2
When learning interpretable latent structures using model-based approaches, even small deviations from modeling assumptions can lead to inferential results that are not mechanistic…
stat.ME2026
Propagating Surrogate Uncertainty in Bayesian Inverse Problems
Andrew Gerard Roberts, Michael Dietze, Jonathan H. Huggins
Standard Bayesian inference schemes are infeasible for inverse problems with computationally expensive forward models. A common solution is to replace the model with a cheaper surr…