1 citations · 2 across the 2 of their papers we have counts for
3 papers · 1 filter
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…
Sequential Design of Mixture Experiments with an Empirically Determined Input Domain and an Application to Burn-up Credit Penalization of Nuclear Fuel Rods
François Bachoc, Théo Barthe, Thomas Santner +1
This paper proposes a sequential design for maximizing a stochastic computer simulator output, y(x), over an unknown optimization domain. The training data used to estimate the opt…
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{…