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Technometrics Volume 65, 2023 - Issue 2
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Articles

Deep Gaussian Process Emulation using Stochastic Imputation

Deyu Minga School of Management, University College London, London, UKCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0003-2369-1927
ORCID Icon,
Daniel Williamsonb Department of Mathematics, College of Engineering, Mathematics and Physical Sciences, University of Exeter, Exeter, UK
&
Serge Guillasc Department of Statistical Science, University College London, London, UK
Pages 150-161 | Received 02 Jan 2022, Accepted 08 Aug 2022, Published online: 12 Oct 2022

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Raghav Gnanasambandam, Bo Shen, Andrew Chung Chee Law, Chaoran Dou & Zhenyu (James) Kong. (2024) Deep Gaussian process for enhanced Bayesian optimization and its application in additive manufacturing. IISE Transactions 0:0, pages 1-14.
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Dimitra M. Salmanidou, Joakim Beck, Peter Pazak & Serge Guillas. (2021) Probabilistic, high-resolution tsunami predictions in northern Cascadia by exploiting sequential design for efficient emulation. Natural Hazards and Earth System Sciences 21:12, pages 3789-3807.
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