Multi-output local Gaussian process regression: applications to uncertainty quantification

DOI10.1016/j.jcp.2012.04.047zbMath1277.60066OpenAlexW2060682310MaRDI QIDQ385889

Ilias Bilionis, Nicholas Zabaras

Publication date: 12 December 2013

Published in: Journal of Computational Physics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jcp.2012.04.047

zbMATH Keywords

Gaussian processstochastic partial differential equationsadaptivitymulti-outputBayesianuncertainty quantificationmulti-element

Mathematics Subject Classification ID

Gaussian processes (60G15) Stochastic ordinary differential equations (aspects of stochastic analysis) (60H10) Computational methods for stochastic equations (aspects of stochastic analysis) (60H35)

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Uses Software

• Trilinos
• GSL
• dynaTree

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