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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…
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…