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Robert B. Gramacy
Researcher at Virginia Tech
Publications - 151
Citations - 7454
Robert B. Gramacy is an academic researcher from Virginia Tech. The author has contributed to research in topics: Gaussian process & Computer experiment. The author has an hindex of 43, co-authored 143 publications receiving 6225 citations. Previous affiliations of Robert B. Gramacy include Brigham Young University & University of South Florida.
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Bayesian Treed Gaussian Process Models With an Application to Computer Modeling
TL;DR: In this paper, a non-stationary modeling methodologies that couple stationary Gaussian processes with treed partitioning is presented. But this method is not applicable to the design of a rocket booster.
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Bayesian treed Gaussian process models with an application to computer modeling
TL;DR: This article explores nonstationary modeling methodologies that couple stationary Gaussian processes with treed partitioning and shows that this approach is effective in other arenas as well.
Journal ArticleDOI
Local Gaussian Process Approximation for Large Computer Experiments
TL;DR: A family of local sequential design schemes that dynamically define the support of a Gaussian process predictor based on a local subset of the data are derived, enabling a global predictor able to take advantage of modern multicore architectures.
Journal ArticleDOI
A Case Study Competition Among Methods for Analyzing Large Spatial Data
Matthew J. Heaton,Abhirup Datta,Andrew O. Finley,Reinhard Furrer,Joseph Guinness,Rajarshi Guhaniyogi,Florian Gerber,Robert B. Gramacy,Dorit Hammerling,Matthias Katzfuss,Finn Lindgren,Douglas Nychka,Furong Sun,Andrew Zammit-Mangion +13 more
TL;DR: This study provides an introductory overview of several methods for analyzing large spatial data and describes the results of a predictive competition among the described methods as implemented by different groups with strong expertise in the methodology.
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A Case Study Competition Among Methods for Analyzing Large Spatial Data
Matthew J. Heaton,Abhirup Datta,Andrew O. Finley,Reinhard Furrer,Rajarshi Guhaniyogi,Florian Gerber,Robert B. Gramacy,Dorit Hammerling,Matthias Katzfuss,Finn Lindgren,Douglas Nychka,Furong Sun,Andrew Zammit-Mangion +12 more
TL;DR: In this article, the results of a predictive competition among the described methods as implemented by different groups with strong expertise in the methodology have been presented, and each group then wrote their own implementation of their method to produce predictions at the given location and each which was subsequently run on a common computing environment.