Matthew T. Pratola

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 13

Top Topics

Regression Trees

Top Venues

J. Mach. Learn. Res.

J. Comput. Graph. Stat.

Publications

Matthew T. Pratola, Edward I. George, Robert E. McCulloch
Influential Observations in Bayesian Regression Tree Models. J. Comput. Graph. Stat. 33 (1) (2024)
John C. Yannotty, Thomas J. Santner, Richard J. Furnstahl, Matthew T. Pratola
Model Mixing Using Bayesian Additive Regression Trees. Technometrics 66 (2) (2024)
Hengrui Luo, Matthew T. Pratola
Sharded Bayesian Additive Regression Trees. CoRR (2023)
Hengrui Luo, Giovanni Nattino, Matthew T. Pratola
Sparse Additive Gaussian Process Regression. J. Mach. Learn. Res. 23 (2022)
Matthew T. Pratola
Editorial: Special Issue on Industry 4.0. Technometrics 64 (4) (2022)
Akira Horiguchi, Thomas J. Santner, Ying Sun, Matthew T. Pratola
Using BART to Perform Pareto Optimization and Quantify its Uncertainties. Technometrics 64 (4) (2022)
Akira Horiguchi, Matthew T. Pratola, Thomas J. Santner
Assessing variable activity for Bayesian regression trees. Reliab. Eng. Syst. Saf. 207 (2021)
Akira Horiguchi, Thomas J. Santner, Ying Sun, Matthew T. Pratola
Using BART for Multiobjective Optimization of Noisy Multiple Objectives. CoRR (2021)
Reza Mohammadi, Matthew T. Pratola, Maurits Kaptein
Continuous-Time Birth-Death MCMC for Bayesian Regression Tree Models. J. Mach. Learn. Res. 21 (2020)
Dai Feng, Vladimir Svetnik, Andy Liaw, Matthew T. Pratola, Robert P. Sheridan
Building Quantitative Structure-Activity Relationship Models Using Bayesian Additive Regression Trees. J. Chem. Inf. Model. 59 (6) (2019)
Reza Mohammadi, Matthew T. Pratola, Maurits Kaptein
Continuous-Time Birth-Death MCMC for Bayesian Regression Tree Models. CoRR (2019)
Matthew T. Pratola, Ofir Harari, Derek Bingham, Gwenn E. Flowers
Design and Analysis of Experiments on Nonconvex Regions. Technometrics 59 (1) (2017)
Matthew T. Pratola, David M. Higdon
Bayesian Additive Regression Tree Calibration of Complex High-Dimensional Computer Models. Technometrics 58 (2) (2016)
David Higdon, James R. Gattiker, Earl Lawrence, Charles S. Jackson, Michael Tobis, Matthew T. Pratola, Salman Habib, Katrin Heitmann, Steve Price
Computer Model Calibration Using the Ensemble Kalman Filter. Technometrics 55 (4) (2013)
Matthew T. Pratola, Stephan R. Sain, Derek Bingham, Michael Wiltberger, E. Joshua Rigler
Fast Sequential Computer Model Calibration of Large Nonstationary Spatial-Temporal Processes. Technometrics 55 (2) (2013)
Matthew T. Pratola, Thomas Wolf
Optimizing GoTools' Search Heuristics using Genetic Algorithms. J. Int. Comput. Games Assoc. 26 (1) (2003)
Matthew T. Pratola, Thomas Wolf
Optimizing GoTools' Search Heuristics using Genetic Algorithms CoRR (2003)