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ORCIDThomas J. Santner
Person information
- affiliation: Ohio State University, Columbus, USA
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Books and Theses
- 2003
[b1]Thomas J. Santner, Brian J. Williams, William I. Notz:
The Design and Analysis of Computer Experiments. Springer series in statistics, Springer 2003, ISBN 978-0-387-95420-2, pp. I-XII, 1-283
Journal Articles
- 2024
- [j12]John C. Yannotty, Thomas J. Santner, Richard J. Furnstahl, Matthew T. Pratola
:
Model Mixing Using Bayesian Additive Regression Trees. Technometrics 66(2): 196-207 (2024) - 2022
- [j11]Akira Horiguchi, Thomas J. Santner, Ying Sun, Matthew T. Pratola:
Using BART to Perform Pareto Optimization and Quantify its Uncertainties. Technometrics 64(4): 564-574 (2022) - 2021
- [j10]Casey B. Davis, Christopher M. Hans, Thomas J. Santner:
Prediction of non-stationary response functions using a Bayesian composite Gaussian process. Comput. Stat. Data Anal. 154: 107083 (2021) - [j9]Akira Horiguchi, Matthew T. Pratola, Thomas J. Santner:
Assessing variable activity for Bayesian regression trees. Reliab. Eng. Syst. Saf. 207: 107391 (2021) - 2018
- [j8]Erin R. Leatherman, Thomas J. Santner, Angela M. Dean:
Computer experiment designs for accurate prediction. Stat. Comput. 28(4): 739-751 (2018) - 2017
- [j7]Erin R. Leatherman, Angela M. Dean, Thomas J. Santner:
Designing combined physical and computer experiments to maximize prediction accuracy. Comput. Stat. Data Anal. 113: 346-362 (2017) - 2016
- [j6]Joshua Svenson, Thomas J. Santner:
Multiobjective optimization of expensive-to-evaluate deterministic computer simulator models. Comput. Stat. Data Anal. 94: 250-264 (2016) - 2012
- [j5]Danel Draguljic, Thomas J. Santner, Angela M. Dean:
Noncollapsing Space-Filling Designs for Bounded Nonrectangular Regions. Technometrics 54(2): 169-178 (2012) - [j4]Hyejung Moon, Angela M. Dean, Thomas J. Santner:
Two-Stage Sensitivity-Based Group Screening in Computer Experiments. Technometrics 54(4): 376-387 (2012) - 2009
- [j3]Gang Han, Thomas J. Santner, William I. Notz, Donald L. Bartel:
Prediction for Computer Experiments Having Quantitative and Qualitative Input Variables. Technometrics 51(3): 278-288 (2009) - [j2]Gang Han, Thomas J. Santner, Jeremy J. Rawlinson:
Simultaneous Determination of Tuning and Calibration Parameters for Computer Experiments. Technometrics 51(4): 464-474 (2009) - 2007
- [j1]Thomas J. Santner, Vivek Pradhan, Pralay Senchaudhuri, Cyrus R. Mehta, Ajit C. Tamhane:
Small-sample comparisons of confidence intervals for the difference of two independent binomial proportions. Comput. Stat. Data Anal. 51(12): 5791-5799 (2007)
Editorship
- 2009
- [e1]Jürgen Branke, Barry L. Nelson, Warren Buckler Powell, Thomas J. Santner:
Sampling-based Optimization in the Presence of Uncertainty, 26.04. - 30.04.2009. Dagstuhl Seminar Proceedings 09181, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, Germany 2009 [contents]
Informal and Other Publications
- 2021
- [i3]Akira Horiguchi, Thomas J. Santner, Ying Sun, Matthew T. Pratola:
Using BART for Multiobjective Optimization of Noisy Multiple Objectives. CoRR abs/2101.02558 (2021) - 2009
- [i2]Jürgen Branke, Barry L. Nelson, Warren Buckler Powell, Thomas J. Santner:
09181 Abstracts Collection - Sampling-based Optimization in the Presence of Uncertainty. Sampling-based Optimization in the Presence of Uncertainty 2009 - [i1]Jürgen Branke, Barry L. Nelson, Warren Buckler Powell, Thomas J. Santner:
09181 Executive Summary - Sampling-based Optimization in the Presence of Uncertainty. Sampling-based Optimization in the Presence of Uncertainty 2009
Coauthor Index
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