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Technometrics Volume 56, 2014 - Issue 4
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Original Articles

Convex Combination of Gaussian Processes for Bayesian Analysis of Deterministic Computer Experiments

Ofir HarariDepartment of Statistics and Operations Research Raymond and Beverly Sackler Faculty of Exact SciencesTel Aviv University, Tel Aviv69978, Israel ([email protected])
&
David M. SteinbergDepartment of Statistics and Operations Research Raymond and Beverly Sackler Faculty of Exact SciencesTel Aviv University, Tel Aviv69978, Israel ([email protected])
Pages 443-454 | Received 01 Oct 2012, Published online: 10 Dec 2014

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Read on this site (2)

Akhil Vakayil & V. Roshan Joseph. (2023) A Global-Local Approximation Framework for Large-Scale Gaussian Process Modeling. Technometrics 0:0, pages 1-11.
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Li-Hsiang Lin & V. Roshan Joseph. (2020) Transformation and Additivity in Gaussian Processes. Technometrics 62:4, pages 525-535.
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Articles from other publishers (5)

Pritam Ranjan, Joseph Resch & Abhyuday Mandal. (2023) Solving an Inverse Problem for Time-Series-Valued Computer Simulators via Multiple Contour Estimation. Journal of Statistical Theory and Practice 17:2.
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Gilad Shapira, Mira Marcus-Kalish, Oren Amsalem, Werner Van Geit, Idan Segev & David M. Steinberg. (2022) Statistical Emulation of Neural Simulators: Application to Neocortical L2/3 Large Basket Cells. Frontiers in Big Data 5.
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Ru Zhang, C. Devon Lin & Pritam Ranjan. (2019) A Sequential Design Approach for Calibrating Dynamic Computer Simulators. SIAM/ASA Journal on Uncertainty Quantification 7:4, pages 1245-1274.
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Jack P.C. KleijnenJack P. C. Kleijnen. 2015. Design and Analysis of Simulation Experiments. Design and Analysis of Simulation Experiments 179 239 .
Jack P.C. KleijnenJack P. C. Kleijnen. 2015. Design and Analysis of Simulation Experiments. Design and Analysis of Simulation Experiments 1 21 .

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