The Zero Problem: Gaussian Process Emulators for Range-Constrained Computer Models-Reference-Cited by-同舟云学术

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The Zero Problem: Gaussian Process Emulators for Range-Constrained Computer Models

Published:2023-05-17 Issue:2 Volume:11 Page:540-566
ISSN:2166-2525
Container-title:SIAM/ASA Journal on Uncertainty Quantification
language:en
Short-container-title:SIAM/ASA J. Uncertainty Quantification

Author:

Spiller Elaine T.¹^ORCID,Wolpert Robert L.²,Tierz Pablo³^ORCID,Asher Taylor G.⁴

Affiliation:

1. Department of Mathematical and Statistical Sciences, Marquette University, Milwaukee, WI 53201-1881 USA.

2. Department of Statistical Science, Duke University, Durham, NC 27708-0251 USA.

3. The Lyell Centre, British Geological Survey, Edinburgh, EH14 4AP, UK, and The School of Geosciences, University of Edinburgh, Edinburgh, UK.

4. Department of Earth, Marine, and Environmental Sciences, University of North Carolina, Chapel Hill, Morehead City, NC 28557 USA.

Funder

National Science Foundation

Publisher

Society for Industrial & Applied Mathematics (SIAM)

Subject

Applied Mathematics,Discrete Mathematics and Combinatorics,Statistics, Probability and Uncertainty,Modeling and Simulation,Statistics and Probability

Reference63 articles.

1. Diagnostics for Gaussian Process Emulators

2. Using Statistical and Computer Models to Quantify Volcanic Hazards

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Topographic Controls on Pyroclastic Density Current Hazard at Aluto Volcano (Ethiopia) Identified Using a Novel Zero‐Censored Gaussian Process Emulator;Journal of Geophysical Research: Solid Earth;2024-05

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