Gaussian Process Modeling of Heterogeneity and Discontinuities Using Voronoi Tessellations-Reference-Cited by-同舟云学术

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Gaussian Process Modeling of Heterogeneity and Discontinuities Using Voronoi Tessellations

Published:2019-12-20 Issue:1 Volume:63 Page:53-63
ISSN:0040-1706
Container-title:Technometrics
language:en
Short-container-title:Technometrics

Author:

Pope Christopher A.¹^ORCID,Gosling John Paul¹^ORCID,Barber Stuart¹,Johnson Jill S.²,Yamaguchi Takanobu³,Feingold Graham³,Blackwell Paul G.⁴

Affiliation:

1. School of Mathematics, University of Leeds, Leeds, UK

2. School of Earth and Environment, University of Leeds, Leeds, UK

3. Chemical Sciences Division, Earth System Research Laboratory, National Ocean and Atmospheric Administration, Boulder, CO

4. School of Mathematics and Statistics, University of Sheffield, Sheffield, UK

Funder

John E Crowther - Martin Clarke Research Foundation

John E Crowther–Martin Clarke Research Foundation

Publisher

Informa UK Limited

Subject

Applied Mathematics,Modeling and Simulation,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/00401706.2019.1692696

Reference41 articles.

1. Estimating the Prediction Mean Squared Error in Gaussian Stochastic Processes with Exponential Correlation Structure

2. A Characterization of the bell numbers

3. Bayesian History Matching of Complex Infectious Disease Models Using Emulation: A Tutorial and a Case Study on HIV in Uganda

4. Diagnostics for Gaussian Process Emulators

5. Bayesian analysis of deformed tessellation models

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4. The Zero Problem: Gaussian Process Emulators for Range-Constrained Computer Models;SIAM/ASA Journal on Uncertainty Quantification;2023-05-17

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