3 papers
stat.ME2026
Combining Climate Models using Bayesian Regression Trees and Random Paths
John C. Yannotty, Thomas J. Santner, Bo Li +1
General circulation models (GCMs) are essential tools for climate studies. Such climate models may have varying accuracy across the input domain, but no model is uniformly best. On…
hep-ph2025
Bayesian model-data comparison incorporating theoretical uncertainties
Sunil Jaiswal, Chun Shen, Richard J. Furnstahl +2
Accurate comparisons between theoretical models and experimental data are critical for scientific progress. However, inferred physical model parameters can vary significantly with…
stat.ME2025
Estimating Shapley Effects in Big-Data Emulation and Regression Settings using Bayesian Additive Regression Trees
Akira Horiguchi, Matthew T. Pratola
Shapley effects are a particularly interpretable approach to assessing how a function depends on its various inputs. The existing literature contains various estimators for this cl…