1 citations · 2 across the 2 of their papers we have counts for
2 papers
stat.ME2020★ 1 cited
Assessing variable activity for Bayesian regression trees
Akira Horiguchi, Matthew T. Pratola, Thomas J. Santner
Bayesian Additive Regression Trees (BART) are non-parametric models that can capture complex exogenous variable effects. In any regression problem, it is often of interest to learn…
stat.ME2019★ 1 cited
Prediction Using a Bayesian Heteroscedastic Composite Gaussian Process
Casey B. Davis, Christopher M. Hans, Thomas J. Santner
This research proposes a flexible Bayesian extension of the composite Gaussian process (CGP) model of Ba and Joseph (2012) for predicting (stationary or) non-stationary $y(\mathbf{…