The Design and Analysis of Computer Experiments. - Thomas J. Santner; Brian J. Williams; William I. Notz (Springer, 2003)

Small-sample comparisons of confidence intervals for the difference of two independent binomial proportions. - Thomas J. Santner; Vivek Pradhan; Pralay Senchaudhuri; Cyrus R. Mehta; Ajit C. Tamhane (Comput. Stat. Data Anal., 2007)

09181 Abstracts Collection - Sampling-based Optimization in the Presence of Uncertainty. - Jürgen Branke; Barry L. Nelson; Warren Buckler Powell; Thomas J. Santner (Sampling-based Optimization in the Presence of Uncertainty, 2009)

09181 Executive Summary - Sampling-based Optimization in the Presence of Uncertainty. - Jürgen Branke; Barry L. Nelson; Warren Buckler Powell; Thomas J. Santner (Sampling-based Optimization in the Presence of Uncertainty, 2009)

Prediction for Computer Experiments Having Quantitative and Qualitative Input Variables. - Gang Han; Thomas J. Santner; William I. Notz; Donald L. Bartel (Technometrics, 2009)

Simultaneous Determination of Tuning and Calibration Parameters for Computer Experiments. - Gang Han; Thomas J. Santner; Jeremy J. Rawlinson (Technometrics, 2009)

Noncollapsing Space-Filling Designs for Bounded Nonrectangular Regions. - Danel Draguljic; Thomas J. Santner; Angela M. Dean (Technometrics, 2012)

Two-Stage Sensitivity-Based Group Screening in Computer Experiments. - Hyejung Moon; Angela M. Dean; Thomas J. Santner (Technometrics, 2012)

Multiobjective optimization of expensive-to-evaluate deterministic computer simulator models. - Joshua Svenson; Thomas J. Santner (Comput. Stat. Data Anal., 2016)

Designing combined physical and computer experiments to maximize prediction accuracy. - Erin R. Leatherman; Angela M. Dean; Thomas J. Santner (Comput. Stat. Data Anal., 2017)

Computer experiment designs for accurate prediction. - Erin R. Leatherman; Thomas J. Santner; Angela M. Dean (Stat. Comput., 2018)

Using BART for Multiobjective Optimization of Noisy Multiple Objectives. - Akira Horiguchi; Thomas J. Santner; Ying Sun 002; Matthew T. Pratola (CoRR, 2021)

Prediction of non-stationary response functions using a Bayesian composite Gaussian process. - Casey B. Davis; Christopher M. Hans; Thomas J. Santner (Comput. Stat. Data Anal., 2021)

Assessing variable activity for Bayesian regression trees. - Akira Horiguchi; Matthew T. Pratola; Thomas J. Santner (Reliab. Eng. Syst. Saf., 2021)

Using BART to Perform Pareto Optimization and Quantify its Uncertainties. - Akira Horiguchi; Thomas J. Santner; Ying Sun 002; Matthew T. Pratola (Technometrics, 2022)

Model Mixing Using Bayesian Additive Regression Trees. - John C. Yannotty; Thomas J. Santner; Richard J. Furnstahl; Matthew T. Pratola (Technometrics, 2024)