Matthew T. Pratola

According to our database, Matthew T. Pratola authored at least 15 papers between 2003 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Scaled Block Vecchia Approximation for High-Dimensional Gaussian Process Emulation on GPUs.

Qilong Pan, Sameh Abdulah, Mustafa Abduljabbar, Hatem Ltaief, Andreas Herten, Mathis Bode, Matthew T. Pratola, Arindam Fadikar, Marc G. Genton, David E. Keyes, Ying Sun

CoRR, April, 2025

2024

Model Mixing Using Bayesian Additive Regression Trees.

John C. Yannotty, Thomas J. Santner, Richard J. Furnstahl, Matthew T. Pratola

Technometrics, April, 2024

Influential Observations in Bayesian Regression Tree Models.

Matthew T. Pratola, Edward I. George, Robert E. McCulloch

J. Comput. Graph. Stat., 2024

2023

Sharded Bayesian Additive Regression Trees.

Hengrui Luo, Matthew T. Pratola

CoRR, 2023

2022

Editorial: Special Issue on Industry 4.0.

Matthew T. Pratola

Technometrics, 2022

Using BART to Perform Pareto Optimization and Quantify its Uncertainties.

Akira Horiguchi, Thomas J. Santner, Ying Sun, Matthew T. Pratola

Technometrics, 2022

Sparse Additive Gaussian Process Regression.

Hengrui Luo, Giovanni Nattino, Matthew T. Pratola

J. Mach. Learn. Res., 2022

2021

Assessing variable activity for Bayesian regression trees.

Akira Horiguchi, Matthew T. Pratola, Thomas J. Santner

Reliab. Eng. Syst. Saf., 2021

Using BART for Multiobjective Optimization of Noisy Multiple Objectives.

Akira Horiguchi, Thomas J. Santner, Ying Sun, Matthew T. Pratola

CoRR, 2021

2020

Continuous-Time Birth-Death MCMC for Bayesian Regression Tree Models.

Reza Mohammadi, Matthew T. Pratola, Maurits Kaptein

J. Mach. Learn. Res., 2020

2019

Building Quantitative Structure-Activity Relationship Models Using Bayesian Additive Regression Trees.

Dai Feng, Vladimir Svetnik, Andy Liaw, Matthew T. Pratola, Robert P. Sheridan

J. Chem. Inf. Model., 2019

2016

Bayesian Additive Regression Tree Calibration of Complex High-Dimensional Computer Models.

Matthew T. Pratola, David M. Higdon

Technometrics, 2016

2013

Fast Sequential Computer Model Calibration of Large Nonstationary Spatial-Temporal Processes.

Matthew T. Pratola, Stephan R. Sain, Derek Bingham, Michael Wiltberger, E. Joshua Rigler

Technometrics, 2013

Computer Model Calibration Using the Ensemble Kalman Filter.

David Higdon, James R. Gattiker, Earl Lawrence, Charles S. Jackson, Michael Tobis, Matthew T. Pratola, Salman Habib, Katrin Heitmann, Steve Price

Technometrics, 2013

2003

Optimizing GoTools' Search Heuristics using Genetic Algorithms.

Matthew T. Pratola, Thomas Wolf

J. Int. Comput. Games Assoc., 2003